Conference Agenda

Systems change can help to address sustainability challenges and interventions at deep leverage points of a system can be applied to do so. By studying 9 sustainable entrepreneurial businesses, this paper looked at how entrepreneurial firms used their business to intervene at deep leverage points to facilitate systems change. We then proposed how deep leverage points can be operationalized by developing an approach for sustainable business model innovation and how entrepreneurs can consciously target leverage points when designing their business models to influence sustainable systems change.

Sustainable service-product systems (SPSSs) aided packaging-free shopping are expected to promote sustainable behaviour through enhanced user experience. Yet, understanding about this kind of practice is scarce. In this study, we adopted a qualitative approach through observations and semi-structured interviews with fifteen young consumers. The results present three stages of the practice and identify the challenges in each stage, using the practice theory as a theoretical basis. In light of these, the future offerings of SPSSs are proposed.

As the world deals with climate change, it is crucial that new products are designed to be more sustainable. Product design strategies which conform to the Circular Economy principles have recently gained attention, which promote sustainability and resource efficiency. However, such strategies require careful consideration of uncertainties and the ways to mitigate them, e.g. by using margins. The pursuit of circularity can inadvertently lead to overdesign as designers strive to mitigate elevated risks, thereby making a product less sustainable. In this paper, we explore this balance.

To advance the circular economy, there is a need to take an ecosystem view of business models for circularity in which different actors interact dynamically to create economic, environmental and social value. This research introduces the Circular Business Ecosystem Model Canvas, a novel method to prototype a circular ecosystem of business models. The case of ferric chloride, an inorganic coagulant for wastewater treatment, is used to demonstrate the new canvas and show how it supports the development of a more holistic perspective on sustainability-oriented business model innovation.

Based on circular economy readiness assessments of six value chain layers, 18 design strategies and five collaboration strategies for circular economy were identified. The design strategies have many applications, from the design of materials, products, and processes to business models, and while some are specific to determined layers, others can be addressed by companies in multiple layers. Furthermore, collaboration across the value chain was found to affect positively the employment of circular economy design strategies, contributing to the fulfilment of solutions’ circularity potential.

Automotive OEM introduced Product-Service Systems in the past 20 years, challenging their traditional business model. A qualitative study was developed to characterise the decision-making process across 6 case studies, and similar patterns across different enabled the identification of lessons learned and possible future implications. All PSS initiatives were introduced following an Agile/Lean experimental approach, but the opportunistic nature of trials casts doubts in future validity. New testing methods that generate more robust conclusions need to be developed.

User-testing is crucial in modern product design. The perception-centric design philosophy aims to cut costs and improve responses to low-cost prototypes by including aspects like thermal properties, texture, weight, sound, and haptic feedback. This paper introduces a set of considerations for integrating low-cost vibrotactile haptics into prototypes. Derived using an action-based research process, it addresses product characterisation, actuation, control, and integration. Multi-sensory prototypes in early-stage design could be vital for the sustainable prototyping of the future.

In the field of 3D model reconstruction, manifold methods have been developed that derive CAD models from 3D scan data. Opposed to classical CAD modelling, where surface and solid modelling exist, a further diversification of modelling techniques is observed, caused by different methods to build up the geometry. This research introduces a new classification, the so-called Level of Complexities. It can be applied to the complete Reverse Engineering process chain and lays the foundation for further research on how to match requirements arising from all process steps and downstream applications.

The spare parts play a vital role in sustaining the operation and longevity of products and systems, but their unavailability can lead to prolonged downtime or expensive replacements. The integration of 3D scanning and Additive Manufacturing (AM) presents a promising path for spare part production. However, to utilise the full potential of AM, sometimes, redesign of the original part is needed. This paper investigates and proposes a new approach that integrates reverse engineering and redesign of an original part based on functional analysis to support the manufacturing of AM spare parts.

This paper contributes with insights regarding design expertise and prototyping. Seven high performers – Outstanding Designers – were interviewed to learn about their prototyping activities. The Outstanding Designers emphasised prototyping for reflection, gaining certainty, and cooperating with clients. They expressed a strong attachment regarding the use of prototyping that results in specific routines. We call this behaviour the Outstanding Designers’ bonding with prototyping. The main insights were synthesised into a model outlining the relation between design expertise and prototyping.

The research paper delves into the importance of point cloud data obtained from 3D scanning technology ensuring quality control in industrial settings. It presents a new heuristic approach that utilizes the wavelet algorithm and other techniques to detect and characterize induced forming defects accurately. The proposed approach offers more flexibility, ease of use, and better results based on descriptive and prescriptive analyses from DRM. The results demonstrate that the wavelet algorithm was successful in identifying and characterizing forming defects in point cloud data.

The understanding of prototyping has changed in recent years to an approach that accompanies the product development process. This paper examines whether classic approaches from product development are also suitable for planning prototyping sequences. The stepwise process-oriented and the problem-oriented approach are discussed. A criticality assessment is proposed as a metric for the prioritization of the functional areas and a procedure is derived from this. The procedure is illustrated using an example. The result is discussed and future steps are suggested.

From an economic perspective, the appeal of a product diminishes over time. However, volatile markets and divergent technological advancements make it challenging to anticipate when and to what extent changes will be necessary. Therefore, it is important to be able to integrate changes after a product's launch. This paper provides an overview of different perspectives on the product lifecycle. In addition, the paper presents an empirical study on implementing changes at an automobile manufacturer.

Transferring natural language requirements to use case diagrams helps to avoid inherent ambiguities. However, this is usually a manual, time-consuming task that can be accelerated by utilizing Artificial Intelligence in terms of Natural Language Processing. Thus, this contribution proposes a conceptual framework for automatically grouping interrelated functional requirements and deriving use case diagrams by combining formerly isolated approaches. Moreover, the latter are evaluated by a qualitative potential analysis to support their future industrial application.

Innovation plays a vital role in ensuring sustainable mining operations. Electrification and autonomy are two significant trends, but their implementation brings complexity at vehicle and site levels. Therefore, it is crucial to understand how these technologies impact the overall site value creation. This paper suggests a hybrid approach that combines Agent-Based Simulation and vehicle dynamics modeling to explore site configurations. By regarding a mining site as a System-of-Systems, designers can concurrently test different designs to find the optimal combination for a specific scenario.

Supporting product developers in innovating is an important task of design research. An invention and a valid need situation described through a product profile are necessary elements of innovation. But how can we derive recommendations on how to develop "innovative" products if the success of a product can only be measured retrospectively? Retrospective case studies are one approach to investigate relationships between context factors, variations in systems and product profiles, and innovation success. To investigate these, we use product profiles in case studies across system generations.

Due to the rising multidisciplinarity and connectivity of products especially modular product families, a sophisticated handling of the information is crucial for reducing complexity during the development. System modelling techniques have evolved to assist engineers with managing information. However, nowadays, it is rarely focusing on modular product families. This paper introduces a meta-model based on an ontology, which improves the creation and management of modular product family and its occurring data. The meta-model is presented using the example of a Passenger Service Unit (PSU).

Within Model-based Systems Engineering different kinds of model will be created to support the execution of engineering activites. This contribution introduces an evaluation concept which focuses on the model informativity and its usefulness within the modelling process. Thereby, it shall be investigated which advantages the integration of model elements based on different levels of abstraction and a reduction of model formalisation enables. For the model creation the analogue modelling method will be applied, which uses physical (tangible) model elements.

Digital transformation increases the need for interdisciplinary collaboration along the product lifecycle. It is currently hindered by a low data consistency resulting from the use of heterogeneous systems and data models. Especially in work planning, where several data models are combined, this decreases efficiency. Systems Lifecycle management (SysLM) offers a solution to this remedy. However, a sudden switch to SysLM is not possible in brownfields. Thus, it is necessary to examine the challenges and opportunities to derive case-specific measures that enable its adoption in work planning.

Service and digital transitions create a range of solutions by combining their features and introducing both human and automated agents as intermediaries. The paper classifies non/digital product/service and explores how these transitions change user involvement. A model is proposed to assess the user’s role with human (service) and automated (digital) intermediaries. Utilizing user journey phases, the model is applied to four case studies, revealing commonalities in transition occurrences. Evidence suggest a potential adoption in design identifying the key phases per each transitions.

This paper explores the implementation of Industry 4.0 technologies in Small Enterprises (SEs), focusing on the unique challenges they face. It presents four case studies demonstrating how low-cost, low-effort solutions can enhance efficiency and productivity in small companies. The solutions, developed in a local makerspace, address specific manufacturing challenges that lack affordable or existing off-the-shelf solutions. The paper highlights the value of iterative prototyping in implementing Industry 4.0 solutions and discusses how this approach can help SEs overcome adaptation challenges.

This study proposes a Moon-based factory for space-bound products, aiming to revolutionize space exploration through In-Space Manufacturing (ISM). It defines key elements for lunar manufacturing by adapting Earth-based factory models to lunar conditions.

This paper presents a collaborative solution developed to enable people without prior Internet of Things (IoT) knowledge to ideate, conceptualise, role-play and prototype potential improvements to their work processes and environments. The solution, called the Karakuri IoT toolkit and method, was tested in two workshops with eight production leaders at a Swedish manufacturing company. Outcomes were analysed from the perspectives of materials interaction and instruments of inquiry. Results indicate the solution can help people conceive and prototype improvement ideas at early design stages.

Industry 4.0 is leading to technological advancement in manufacturing and causing changes in tasks performed by operators. This represents a potential trigger of humans' stress and workload. This paper aims to investigate work-related stress in an industrial environment through a real production case study through ECG, EDA, EMG, and respiratory band. From stress physiological indicators analysis, preliminary suggestions for the case study are provided to make the production system more human-centered, according to Industry 5.0. Further studies may test the effect of the recommended actions.

The overall aim is to assess the superior of human- or design-centric source. This research compares the categories covered in a checklist by pain-points and needs identified individually using human- and design-centric sources. Data from 6 projects of a design course is used. It is found that there is no significant difference in the number of categories covered by pain-points and needs but the categories are not the same. This calls for integrating both sources in comparison to using only one source for designing which can potentially help to identify diverse and relevant outcomes.

This paper describes the creation of a tool named Shame Cues, a card deck consisting of 64 cards describing sociocultural concepts related to shame. The tool arose as an experiment to articulate an entanglement of diverse shame discourses into something relevant for designers. Building on the experience of using Shame Cues, the paper discusses how Shame Cues can support exploring the role of shame as given implicitly, through cultural manifestations, and in a practical sense, and how such an investigative lens can inform designers with more critical perspectives.

This study presents a three-stage framework to translate user scenarios into engineering specifications. We introduced 'Action Steps' as an intermediate tool to help convert user scenarios into functional requirements and engineering specifications. It facilitates aligning specifications with user needs by filling in the essential product information not revealed in user scenarios. Preliminary testing revealed that the proposed framework improved team understanding and reduced information gaps, showcasing its potential to enhance specification development and process efficiency.

Human-centred approaches within the design cycle are crucial to enhance usability and inclusivity of products. However, the qualitative nature of traditional human factors evaluation can create bottle necks, prompting the need for more data driven methods. A framework for data-driven human factors is presented, looking to integrate mixed-method approaches. Case studies illustrate its usage in real-world scenarios and challenges are summarised, calling for robust data collection methods, balancing of mixed methods, a need for explainable systems, and interdisciplinary expertise.

Gibson used "affordance" to describe how animals perceive and interact with their environment. Since the term was coined, many studies, both theoretical as well as empirical, have been done. We conducted a review of the 56 most cited works on physical affordances to answer: (1) What methods have been used to study affordances, and how have they changed with time? (2) How has the definition of affordances evolved over time? We went through papers decade-wise and compare their key contributions. Finally, we discuss how the definition and research on affordances has evolved in the last 40 years.

Scholars in economics, psychology, and business have recently defined narrative as the underlying mechanism by which humans internally process information and drive a decision forward. In this paper, we study narrative’s use in design across Design Society publications. We discuss how narrative’s role as the driver of design decision-making is an important, but missing, element of the design literature. We explain how engineers will be expected to move the design process forward despite facing decisions where the information is simultaneously too much to process, conflicting, and incomplete.

Wearable devices have some shared characteristics. They should conform to the wearer's size and shape, not interfere with desired activities, perform intended functions, be easily usable and comfortable, among others. Due to these shared characteristics, a common design methodology should be possible for designing wearables that assists designers in taking a systematic approach. We propose a configuration design method for wearables and sketch its elements. An example of a family of passive exoskeleton suits that assists with walking is presented to illustrate the configuration design process.

This research explores the dynamic nature of family involvement in remote patient management for cardiovascular disease and its impact on lifestyle behaviour changes. Through an interview study with patients and family members, we categorise family involvement into three types: Inform, Integrate, and Influence, highlighting the dynamic and heterogeneous nature of family involvement across different phases and activities. Overall, we emphasise the need for personalised and adaptable interventions to cater to the diversity of families and propose a modular approach to remote monitoring design.

Introducing a Minimum Viable Product in the market and rapidly testing it proves valuable in assessing its value and potential. This involves experiments, gauging growth, and striving to diminish uncertainty in iterative cycles. The application of these approaches in healthcare, however, faces obstacles due to unique challenges including patient safety concerns and regulatory compliances. This paper undertakes a narrative literature review covering experiences of healthcare professionals and presents guiding considerations for medical startups to use in the market validation of their products.

This study addresses the challenges of the ageing population, focusing on enhancing the life of caregivers and the elderly. It proposes a multifaceted solution that allows dependents to live close to their carers, enabling oversight without a need for constant presence. The paper employs empirical studies to ensure a deep understanding of caregiving, capturing the breadth and depth of challenges. Presenting a novel design solution, Hygge, combines physical and system design with technology integration. This prioritises accessibility, cost, maintenance, and adaptability for diverse needs.

Students mental health is declining. StudyWell is a project aiming at positive impact on student mental health in student cities in Norway; by integrating relational welfare with service design, and the study environment as a starting point. We discussfour implementation challenges: First, co-design depends on a shared mindset across disciplinary boundaries. Secondly, balancing the lenses of individuals, community, system and future require facilitation. Thirdly, societal impact requires continuous partner anchoring. Finally, approaches must not further pathologize university student.

We created a web-based design guide to transfer our previous research findings to better support design education in the digital health design area for improving patient experience. To seek insights to iteratively improve the design guide, we conducted a workshop with 19 MSc students who specialized in design for healthcare. The guide was perceived as having the potential to improve their understanding of digital PEx improvements, but the content clarity and information presentation need to be improved.

Manufacturing firms are facing the critical need to manage their business growth while staying within the biophysical limits of the planet. Absolute environmental sustainability decoupling (AESD) combines these goals and is one of the keys for manufacturing firms to achieve their sustainable transition. This study offers an initial contribution to categorise decoupling at the firm level while incorporating absolute environmental sustainability goals. It also explores the role of design in achieving AESD and opens doors for further research on manufacturing firms' sustainability transition.

Interdisciplinary transition innovation, management, and engineering (InTIME) Design has been developed to overcome sustainability transition challenges in complex systems. The intersections of InTIME Design with a range of reported design for sustainability (DfS) approaches were analysed. Results demonstrate similar core principles across DfS approaches. InTIME Design accomplishes convergence of the studied approaches, and organises the DfS approaches into workflow phases, adds a complimentary wicked problem definition, and deploys systems engineering problem solving.

This paper aims to develop a risk assessment framework that addresses both the complexities of the risk landscape that green transition portfolios face, but is recognizable and easily understandable by stakeholders. For this purpose, we build upon the framework of NASA Technology Readiness Levels (TRLs). This study analyzes six existing readiness levels framework that are held towards uncertainty factors from the Green Transition. The TRL scale are coupled with Risk, Uncertainty, and Ignorance to score the individual level of uncertainty. The paper ends with suggestion for further studies.

The discourse surrounding sustainable consumption and production has evolved to encompass sufficiency strategies in addition to efficiency and effectiveness. Product-service systems (PSSs) can promote sufficiency by replacing traditional product-intensive systems with dematerialized services and changes in ownership structures. Sufficiency-oriented PSS may, however, generate rebound effects which offset potential sufficiency benefits or even result in backfire. This paper examines the connection between sufficiency-oriented PSS and rebound reviewing 12 empirical studies addressing rebound.

Multiple industries have hailed lightweighting promise to reduce the mass of their product at equivalent or improved performance. Lightweighting as a strategy encompasses lightweight end-product desired attributes and through-life processing decisions. Assessment of lightweighting gathers information for decision-making towards the optimization of these strategies. An exploratory study, using systems thinking is conducted, to identify requirements of lightweighting and its assessment in terms of holistically defining its impact on the sustainability of its background system, the Earth.

Adaptive structures have the potential to play a significant role in saving resources in the construction industry in the future. For realisation, this requires actuators that meet the requirements of different buildings with their specific load-bearing structures. In the past, the actuators were mainly developed particularly for one exemplary load-bearing structure. This paper analyses the primary classifications for buildings, followed by challenges of adaptive structures, before outlining the draft of a framework for actuators for adaptive structures to speed up and simplify development.

Shorter product lifecycles and a shift from mechatronic to cyber-physical systems are leading to greater product complexity. This complexity can be addressed by more intensive cooperation between product and production system development. Despite intensive development in recent years, these process models have not been able to establish themselves in corporate practice. Therefore, this paper analyses the existing integrative product and production methods to identify the reasons for their lack of use in practice. The analysis has shown that there are nine barriers.

The complexity of the products/systems requires an in-depth understanding of variability and its impact on all phases, from design to maintenance. This study explores Variability Management (VM) emphasizing its challenges. Conducting semi-structured interviews with experts at Renault Group, the research examines variability aspects, semantics, methods, challenges, and possible solutions. The findings offer practical insights into industrial-scale variability management, addressing the use case of the automotive industry.

Selecting right positions for composite-integrated sensors for monitoring cure during manufacturing and loads during product use presents challenges for engineering design. Since an optimal sensor placement (OSP) methodology for both phases is not emphasised enough in literature, a new methodology is proposed. This methodology is based on a Genetic Algorithm and strain gauges, temperature sensors and interdigitated electrode sensors for cure monitoring and physics-informed neural network-based load detection. Additionally, it includes sensor node positions optimization in a sensor network.

As digitalization progresses, the development and integration of sensory functions in technical systems become increasingly important. Managing uncertainty, especially in the early phase of this process, is crucial to ensure the reliability of the data provided. Therefore, a methodical framework for the identification, analysis and consideration of uncertainty was presented in prior works. In this contribution, the effectivity of the framework is evaluated by applying it to a sensory function for rotational speed and offset measurement of a disk pack coupling using sensor integrating bolts.

System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.

Early consideration of failure modes in the feature development process is essential to identify and trace risks across the physical and embedded AI components of intelligent systems, to enhance the robustness of the feature delivery as well as trust in the AI. This paper introduces an extension of the AIAG/VDA function failure modes taxonomy, to facilitate the integrated analysis of complex intelligent systems with embedded AI. A case study of an autonomous driving feature is discussed as validation of the proposed taxonomy.

Abstract product development models, such as the Integrated Product Engineering Model (iPeM), are insightful yet complex, hindering practical application. The paper introduces a prototypical tool designed to simplify the application of iPeM. A case study at CERN showcases the tool's capability in utilizing the iPeM to streamline the tailoring of standards into methodologies for research environments. The tool's impact is evaluated through interviews at CERN. The findings suggest the tool's benefits, especially for individuals without formal project management backgrounds.

To handle the increased complexity within the automotive industry, this paper introduces a guideline, which aims to support development service providers to examine the introduction and if applicable support the introduction of systems engineering. The initial verification was performed through applying the guideline at Porsche Engineering as an exemplary service provider. As a result, the success factors "knowledge basis" and "knowledge transfer" have been improved by two points on a 1-5 Likert-scale by introducing a SE process-specific knowledge platform and a defined knowledge transfer.

The emergence of smart Product-Service Systems (smart PSS) presents numerous challenges for enterprises. The complexity of designing smart PSS adds to the need for consistent support for manufacturers. Both academia and practitioners highlight the importance of methodological support for successful development of smart PSS. This paper therefore investigates the suitability of existing support for smart PSS. Based on a systematic literature review, 17 support methods are identified and their key characteristics are discussed in the context of real PSS use cases.

Underpinning much work on the use of Virtual Reality technologies in design prototyping, is the need to reliably track the 3D position of a physical object in real space, then allowing synchronisation with a digital counterpart. With many tracking methods requiring changes to object geometry, this work develops and benchmarks four minimally invasiveness 6 DoF tracking approaches, before discussing their use in a prototyping context. Results show that using AI and point cloud methods, accuracies of 20mm at 20Hz are achievable on low-end hardware with no alterations to the prototype needed.

Various industries use computer simulation for verifying product properties in early phases of development. Traditionally, such properties include the stability of mechanical structures or the efficiency of aircraft turbines. More recently, research also focuses on the mountability of industrial products using virtual assembly. While research on virtual assembly already started in the mid-1990s, the applicability in different industries remains largely unclear today. To advance the state-of-the-art, in this paper we present learnings from developing a virtual assembly environment for cooling cabinets.

Immersive reality (XR) technologies, particularly Mixed Reality (MR), offer promising opportunities for enhancing design prototyping. While recent studies often focus on Virtual Reality this work explores the application of MR, where focus lies on interlinking both the physical and digital to maximise benefit. Following a review of XR in design, a descriptive framework is presented to characterise MR prototyping. Two case studies are then presented to highlight the value of bridging the physical and digital worlds, before directions for further research in MR-based prototyping are outlined.

Nowadays, there is a pressing need to incorporate sustainable practices and promote environmental awareness. The fashion industry, characterized by resource-intensive consumption, significantly contributes to global sustainability threats. The authors proposed the adoption of Virtual Reality (VR) to design and develop the Fashion Footprint application, an experience aimed at enhancing sustainability awareness and fostering behavioral change. The findings suggest that VR technology is valuable in promoting sustainability awareness and driving positive behavioral shifts in the fashion industry.

Virtual reality plays an increasingly important role in design education. However, a holistic view, starting with the didactic concept, the selection of a VR tool suitable for the learning task and a final reflective evaluation of the learning experience, rarely takes place. In this paper, the authors present an approach for a VR didactics toolkit that covers and takes into account all three points as a whole. The application and research environment here was the bachelor's degree module Ergonomics and Industrial Design at the Ostfalia University of Applied Sciences.

Additive Manufacturing has transformed modern manufacturing with its well-known advantages. However, shrinkage remains a critical challenge, causing dimensional inaccuracies that should be properly compensated to assure geometric fidelity. This study aims to assess the reliability of a Reverse Engineering (RE) technique for dimensional compensation. A gauge-based measurement approach has been used to validate the RE method. Results confirm that the RE method is promising, while highlighting the intrinsic errors of the RE technique, and suggesting ways to evaluate and prevent them.

The additive manufacturing of parts made from close-to-production materials poses a great challenge. One example are highly viscous silicones, as used in injection moulding. For small production quantities, the manufacturing of injection moulds is uneconomical. This paper presents tensile specimens printed with an in-house developed dispensing system, which are analysed for air cavities (micro-CT scans) and mechanical properties. Based on the results, advice for the design and slicing parameters of parts using high-viscosity silicones in AM by means of material extrusion are developed.

The use of material extrusion (MEX) has increased rapidly due to the affordability of 3D printers. This has led to a growing demand for improved print quality, high fidelity, strength, or fast print times. In this study, a non-planar approach for better surface quality is investigated. The hardware of a 3-axis MEX printer was developed together with testing new software for non-planar slicing. The aim was to identify the most influential parameter combinations using design of experiments. A novel method for measuring surface quality was presented together with future research work.

In Fused Filament Fabrication, there is increasing interest in the potential of composite filaments for producing complex and load-bearing components. Carbon fibre-filled polyamide currently has highest available strength and stiffness, but promising variants are not in filament form. This paper investigates filament production of commercially available, high-filled PA-CF pellets by modifying a tabletop filament extruder. We show filament production is possible by improving cooling. The FFF printed specimens show an average UTS of 135.5 MPa, higher than most commercially available filaments.

Metal material extrusion is a family of metal additive manufacturing that includes atomic diffusion additive manufacturing (ADAM) and bound metal deposition (BMD). In the literature, there are just a few cost models for ADAM and no one for BMD. The paper presents an analytic cost model for BMD. It considers the entire process: pre-processing, printing and post-processing. The total manufacturing cost is split into material, machine, labour, energy and consumables items. The cost model validation on a 3D-printed part determined an accuracy of 98%.

NHS Scotland, one of the keystone healthcare providers in the UK, have recently set a wide variety of sustainability targets in an effort to mitigate waste and the intensive energy demands of healthcare. Medical garment production, management and design is an area in which design researchers can explore and offer solutions. This paper presents a series of co-design explorations to examine design alternatives to single-use theatre caps, the majority of which are currently disposed of routinely. Using a series of probes, major insights into how theatre cap design may be improved is presented.

This study surveyed 190 healthcare professionals to examine attitudes towards reusable surgical gowns, aiming to reduce medical waste. Comfort (scoring 5.32 out of 7) and misconceptions about gowns serving as personal protective equipment (87% hold this belief) are crucial influencers. External motivators, trust, emotions, and workload also impact perceptions. The study recommends enhancing reusable gown design for comfort, multifunctionality, and hygiene trust. It calls for communication strategies to normalise reusables in healthcare and urges a transition to sustainable practices.

The paper explores the integration of emotional design elements in the development of medical devices to enhance user acceptance and adherence. It emphasizes the importance of a user-centered approach, acknowledging both functional and emotional needs. The study compares two cases within healthcare design, highlighting the impact of emotional design on users' perception of medical devices. Despite the different stages of development in the two cases, both employed a higher level of refflective design, aiming to create a lasting impact on users' identity using the products.

Recent clinical trials have successfully slowed Alzheimer’s disease dementia progression, but only in early-stage patients. Society must therefore shift to early diagnosis. By framing this is as an engineering design challenge, we argue that a systems approach will identify solutions by providing the means to validate dementia medical technologies from multiple levels and perspectives: society, government, public health, healthcare, and patient ecosystems. We show that new data-enabled design methods can facilitate these different granularities of thinking and outline the need for designers.

With the current strain on the healthcare service, wearable technology presents a solution. However, there is a lack of adoption from user groups due to a focus on clinical and financial factors. This study explores the implementation of positive design in medicine, outlining contributing factors to positive emotional experiences. Using a qualitative methodology in the form of semi-structured interviews with users and experts, a construct was defined consisting of five key psychological needs, including control, stimulation, competence, social factors, and purpose & growth.

Manufacturing companies find themselves at the crossroads of innovation and sustainability in an era of growing emphasis on corporate social responsibility. This paper delves into Design for Sustainability, aiming to understand the practices Italian design furniture companies are implementing towards sustainability through case studies analysis of sustainable actions (SA) showcased in Milan Design Week 2023. The study categorizes SA according to the Design for Sustainability Framework, determining their role in furniture companies’ transformative learning approaches towards sustainability.

Sustainable Product Development (SPD) enables the systematic incorporation of sustainability into product development and can be achieved by implementing a number of management practices. An industry survey was conducted to investigate the capability of manufacturing companies to apply a consolidated set of 61 SPD management practices. The results indicate that despite the high interest for SPD, the uptake of SPD practices in industry is still behind the state-of-the-art literature. Hence, a greater improvement opportunity exists in the industrial uptake in SPD.

Designers must be equipped with methods to contribute to sustainability transitions. Scenario planning arose as approach to integrate future uncertainties while the low-tech concept promotes technological discernment. This paper looks at how low-tech fuelled scenario planning. Analysing institutional and archetypical scenarios shows a partial integration through high and low-tech extremes. However, more nuanced considerations are lacking. This paper shows that low-tech can bring an interesting dimension to future scenarios and thus contributes to method development for sustainable design.

E-scooters are a cost-effective means of urban transport, however, there have been questions about their safety, performance, and energy efficiency. This paper investigates the rolling resistance of scooter tyres so that the performance of scooters can be more accurately determined. A rolling resistance trailer was manufactured to directly measure tractive force and closely approximate the rolling resistance force for nine commonly used scooter tyres at low speed on a smooth concrete surface. The results of this study will enable a better understanding of the energy losses of these devices.

The growing emphasis on sustainability integrates eco-design and life cycle analysis into product development. Despite the value of LCAs, data limitations lead to assumptions, impacting accuracy. This study compares an estimation-based LCA with a data-driven approach, focusing on a laser machine's operational phase. The significant influence of resource consumption during operation underscores the necessity of optimization. Applying a data-driven approach reveals a 24% difference compared to the estimation-based method, emphasizing the challenges in obtaining accurate data for effective LCAs.

Sustainability is influencing the automotive industry. Car manufacturers are increasingly prioritizing sustainable materials. The production of these still pose environmental challenges. This paper addresses the trends related to sustainable car interiors. It emphasizes the importance of understanding how customers perceive these new materials. Seven in-depth interviews were conducted, followed by a survey with 106 participants to obtain generalized insights. The results will reduce the uncertainty regarding customer expectations for sustainable car interiors.

A volatile environment and an increasing number of products along with a growing range of functions pose a challenge for companies when it comes to further development. Existing methods are no longer sufficient to cope with these challenges. In order to develop new methods, the process and challenges in the advancement of product portfolios must be understood. In this paper we conduct an interview study with ten experts to gain a better understanding of the advancement of product portfolios. Triggers, changes and actions are examined and goals and requirements for new methods are derived.

This study presents a search method for a solution space that aligns with a designer’s design intent. The proposed method uses multiobjective optimization to determine the size of the narrowed solution space and the weakness of the constraint relationships between the design variables. The suitability of the proposed method is tested by applying it to the design problem of an electric motor for an EV, aiming to provide designers with solution spaces that offer a high degree of freedom in the later design stages and that have weaker constraint relationships among the design variables.

To achieve higher functionality in mechatronic systems, the management of disturbance factors plays a crucial role. For this purpose, a method was developed in prior works to address this management via the optimisation of product structures. However, this method lacks applicability due to the complexity of one step of the method. It is the goal of this paper to present a software tool, utilizing cluster-analysis to sort components into assemblies, with which this step is supported. Additionally, the method is generally adapted to address a wider spectrum of phenomena in mechatronic systems.

Anticipating all technical requirements that a product must meet throughout its lifespan has become difficult due to a rise in market, regulatory, and technological uncertainty. As a result, the attribute values of these requirements may be highly uncertain at the start of product development. We propose a mathematical model that captures and quantifies this uncertainty in a clear and comprehensive manner. We evaluate the approach by encoding uncertain requirements for an automotive project. Misconceptions regarding probabilities are alleviated and the requirements are unambiguously defined.

In research environments and laboratories e.g. for material sciences the in- and output of simulation data is manually managed. Therefore, physical experiments as well as simulations might be carried out several times, learnings are not systematically gathered, and experiments do not systematically build on learnings from data. This paper proposes to engage an ontology in conjunction with a simulation to use data from already carried out experiments and on that basis predict material behaviour under certain condition and plan further physical experiments.

This contribution departs from an existing model, the Design Framework for Systems-of-Systems Resilience, to explore systems resilience issues across the health, environmental, and economic domains. The reported research activities include 1) a rapid review to collect a set of systems indicators and 2) a design workshop employing causal loop diagramming to map expected causal influences between indicators. Through this exercise, we examine key themes in this research domain and outline directions for further enquiry, while involving members of the design research community in an open dialogue.

This contribution builds on the Design Framework for System-of-Systems Resilience to investigate the potential of a new systems resilience measuring approach inspired by the Frailty Index. To explore this research direction, we provide a brief overview of the evolution of the notion of resilience, offer a characterisation of systems resilience as an opposite of systems frailty, and perform a rapid review to identify and inspect existing multi-domain indices of community resilience. Finally, we suggest piloting the proposed system-of-systems resilience index in the Fens in the United Kingdom.

The rapid development of new technologies such as electrification, autonomy, and other contextual factors pose significant challenges to development teams in balancing competing aspects while developing value-robust solutions. One approach for achieving value robustness is designing for changeability. This paper presents a tradespace exploration from a Systems-of-Systems perspective to facilitate changeability assessment during early design stages. The approach is further demonstrated on a fleet of haulers operating in a mining site.

In the context of system of systems (SoS) engineering, the incorporation of design principles is critical to guide the engineering process. This paper presents a systematic literature review to synthesize a list of principles tailored for SoS. 26 principles were identified as generic principles and 39 were mapped to the specific challenges in SoS engineering. Through an evaluation using the principle of modularisation in the design of a charging infrastructure, the study offers insights into the real-world effectiveness of these principles, showing their relevance in SoS engineering tasks.

The paper addresses a critical challenge in System-of-Systems (SoS) simulations arising from the different granularity levels in SoS simulations, integrating non-coupled Discrete Element Method results into SoS-level Discrete Event Simulations using surrogate modeling. Illustrated with a wheel loader bucket use-case in mining, it enhances early design decision-making and lays the groundwork for improving SoS simulations in construction equipment design. This paves the way for broader research and application across diverse engineering design domains.

The increased complexity of development projects surpass the capabilities of existing methods. While Model Based Systems Engineering pursues technically holistic approaches to realize complex products, aspects of organization as well as risk management, are still considered separately. The identification and management of risks are crucial in order to take suitable measures to minimize adverse effects on the project or the organization. To counter this, a new graph-based method and tool using AI, tailored to the needs of complex development projects and organizations is introduced here.

Design and manufacturing innovations are important competitive attributes in the premium marine sector. The adoption of an open innovation process has the potential to deliver behavioural and technological transformation. This pilot study illustrates an open innovation approach to explore the benefits of digital innovation when designing new products within the premium marine industry. The research demonstrates how an open innovation approach will flourish when focused on co-creation in collaboration with a network of cross-functional partners.

Empirical studies show that adaptations of existing agile methods are necessary for developing physical products creating obstacles and challenges. This paper aggregates the gathered findings from several cross-sectional industry surveys and establishes a relationship between the extent of utilization of individual agile elements based on Scrum and the need to adapt these elements in applying agile procedural models. The emphasis of examination resides in the purpose perspective of agile elements with the aim of facilitating context-specific adaptations more effectively.

Product development is multidisciplinary with high uncertainties necessitating coordinated decision-making between design and production. This paper presents a method to work with production requirements to support production preparation during product development aligned with different product and production maturities. The work was conducted in collaboration with two global manufacturing firms. The method supports identification, definition, and structuring of production requirements and the collaboration between design and production engineers for requirement prioritization and follow-up.

While research into responsible innovation is not new, there have been recent calls to explore responsible product development, across different development stages and pillars of responsible innovation. In this paper, we use scientometric analysis to explore how the responsible innovation knowledge structure has evolved over the past 50 years. Our aim is to explore the relevance of the topic and propose future research orientations. Findings show that responsible innovation is an emerging topic warranting further investigation.

Agile methods are increasingly being used in automotive development. This research delves into the current state of agile transformation in the automotive industry regarding benefits, challenges, organizational adaptations, and successful measures to establish the agile approach. The results of an online survey reveal that benefits are already evident after 6 months and that challenges are mainly organizational in nature and organizational structures need to be adapted. Main drivers of success are pilot projects on a small scale and top management support as well as training managers.

The UK construction industry is an important aspect of the UK economy; however, it is struggling to keep pace with wider economic growth and if it does not change it will not be able to keep up with demand. There is a gap between academia and practice, and little understanding of how to successfully innovate within the industry. Following a workshop with 25 construction industry professionals on the barriers to innovation in the construction industry, key themes were developed through thematic analysis including regulation, fragmentation and constant change.

This paper presents a mapping of theory use in the design discipline based on the corpus of the published ICED and DESIGN conference papers since 2010. We searched the resulting 4,451 papers for occurrences of theories and compared them with an existing ontology of named theories through natural language processing (NLP). The results yielded a variety of analyses, illustrating, for example, the most-used theories and which disciplines these theories stem from. This paper presents a rich overview of the theories relevant to the design discipline and a novel approach to bibliometric analyses.

The Research Journey Map is introduced to guide researchers on creating engaging, meaningful and impactful presentations and publications. Built on the foundational work of the Hero’s Journey by Joseph Campbell, this template helps technical researchers communicate information, data, systems and artifacts that result from research so that audiences grasp and embrace the research findings.

The point has repeatedly been made that validation is a crucial success factor in demonstrating the scientific contribution and ensuring the adoption of results. Still, researchers in design science validate their research findings too infrequently. We must all evaluate our claimed contributions on open benchmarks to improve validation quality and foster cumulative research. In this paper, we propose a meta-model to standardise and operationalise the concept of open scientific benchmarks in design science and to guide communities of researchers in the co-development of scientific benchmarks.

As design evolves, language serves as a bridge between envisioned futures and the ontological elements of design that shape them. This manuscript presents an alternative glossary that gathers words from diverse disciplines and practices intersected by a decolonial lens that challenges hegemonical narratives. The glossary of the world to come results from a three-day workshop that focused on language as a formal, normative, and subversive tool capable of defining future behaviour and destabilizing the present. The terms are some among the many that exist to form this decolonial world.

This paper examines the replicability of studies in design research triggered by the replication crisis in psychology. It highlights the importance of replicating studies to ensure the robustness of research results and examines whether the description in a publication is sufficient to replicate. Therefore, the publication of a reference study was analysed and a replication study was conducted. The design of the replication study appears similar to the reference study, but the results differ. Possible reasons for the differences and implications for replication studies are discussed.

This paper explores the interplay of feedback principles in design and systems science. From their roots in engineering, biology, and economics, it investigates intersections between design, cybernetics and servomechanisms. The synthesis emphasizes the need for considering feedback in anticipating unintended consequences and proposes an integrative view reconciling fundamental assumptions from the different fields through simulation. This holistic approach underscores the pivotal role of feedback in understanding and addressing complex phenomena, such as rebound effects, in design science.

The graphical user interface was introduced to democratize access to computer systems by simplifying hardware and visual interfaces. Technological advancements further reduced the constraints, primarily benefiting the mainstream users. However, the specialized needs of the critical users have always been neglected. This paper delves into the ergonomics of the mouse pointer and the computer mouse, focusing on left-handed computer users as a critical user category to develop and propose a universal design solution to integrate left-handers as a mainstream user category in a computer interface.

Empowerment is crucial for eliciting designer empathy. This research explores a distinctive integration of empathic modelling and role-play, termed Empathic Empowerment. Through a qualitative study, this research introduces a novel evaluation system, entitled the Empathic Empowerment Scale, designed to support the optimal level of designer empathy in a situated interaction drawn from habitual user experiences. The goal of this research is to empower designers to create the next generation of human-oriented solutions with enhanced inclusivity and social value, through practical experiences.

This paper presents a toolkit of heuristics for enabling non-professionals to design for wellbeing, merging design, psychology, and ergonomics. It demystifies design, focusing on happiness and long-term wellbeing, making design principles accessible to all. This toolkit narrows the divide between design theory and practice, advocating design as a tool to enhance life for individuals and society.

This paper explores the concept of 'playables,' defined as tangible objects intentionally designed for immersive play, distinct from traditional utilitarian objects. It delves into how playables, unlike everyday items, transcend functionality, fostering creativity and curiosity in immersive play. It explores how playables differ from acknowledged design principles, drawing upon Dieter Rams and Don Norman. By recognizing the need for distinct design perspectives for playables, the paper contributes to unlocking their potential to enable wonder in immersive play experiences.

Inertial motion capture has garnered considerable attention within the manufacturing industry for ergonomic assessments due to high reliability and fewer constraints compared to alternative posture tracking direct measurement tools. However, these wearable systems, while ensuring reliability and precision in the results, also introduce a degree of invasiveness. Hence, user experience becomes an important aspect for design and development of such systems. This paper reveals major user experience issues resulting from an experimental study for promoting user-centred design of wearable systems.

Robots are becoming increasingly prevalent in the workplace. As Industry 5.0 pursues human-centric technologies, a greater understanding of what effects aesthetics has on those interacting with robots is needed. This paper sets out robot morphology as a way to characterise key form types, and proposes seven classifications: anthropomorphism, zoomorphism, phytomorphism, artemorphism, functiomorphism, amorphism, and neomorphism. Through an assessment of the current robot aesthetic landscape, design dimensions are identified with examples that can inform future robot design.

This paper investigates the use of Large Language Models (LLMs) in engineering complex systems, demonstrating how they can support designers on detail design phases. Two aerospace cases, a system architecture definition and a CAD model generation activities are studied. The research reveals LLMs' challenges and opportunities to support designers, and future research areas to further improve their application in engineering tasks. It emphasizes the new paradigm of LLMs support compared to traditional Machine Learning techniques, as they can successfully perform tasks with just a few examples.

In the era of digitization and the growing flood of information, the automatic, role-specific identification of information is crucial. This research paper aims to investigate whether the adaptation of LLM is suitable for classifying information obtained from standards for corresponding role profiles. This research reveals that with systematic fine-tuning, prediction accuracy can be increased by almost 100%. The validation was carried out using a two-digit number of standards for three predefined roles and demonstrates the significant potential of LM for labelling content with regard to roles.

This study provides insights into the capabilities and performance of generative AI, specifically ChatGPT, in engineering design. ChatGPT participated in a 48-hour hackathon by instructing two participants who acted out its instructions, successfully designing and prototyping a NERF dart launcher that finished second among six teams. The paper highlights the potential and limitations of generative AI as a tool for ideation, decision-making, and optimization in engineering tasks, demonstrating the practical applicability of generating viable design solutions under real-world constraints.

This study explores how large language models like ChatGPT comprehend language and assess information. Through two experiments, we compare ChatGPT's performance with humans', addressing two key questions: 1) How does ChatGPT compare with human raters in evaluating judgment-based tasks like speculative technology realization? 2) How well does ChatGPT extract technical knowledge from non-technical content, such as mining speculative technologies from text, compared to humans? Results suggest ChatGPT's promise in knowledge extraction but also reveal a disparity with humans in decision-making.

Despite the recognized importance of datasets in data-driven design approaches, their extensive study remains limited. We review the current landscape of design datasets and highlight the ongoing need for larger and more comprehensive datasets. Three categories of challenges in dataset development are identified. Analyses show critical dataset gaps in design process where future studies can be directed. Synthetic and end-to-end datasets are suggested as two less explored avenues. The recent application of Generative Pretrained Transformers (GPT) shows their potential in addressing these needs.

In the realm of process engineering, the pursuit of sustainability is paramount. Traditional approaches can be time-consuming and often struggle to address modern environmental challenges effectively. This article explores the integration of generative AI, as a powerful tool to generate solution ideas and solve problems in process engineering using a Solution-Driven Approach (SDA). SDA applies nature-inspired principles to tackle intricate engineering challenges. In this study, generative AI is trained to understand and use the SDA patterns to suggest solutions to complex engineering challenges.

Despite its importance, the understanding of the behavioural mechanisms underlying rebound effects triggered by sustainable design is still limited. Through a systematic literature review, this study analyses and discusses 18 behavioural mechanisms. The key gaps of behavioural research on rebound effects are (1) limited in-depth analysis of different mechanisms (2); lack of clearly defined concepts; and (3) neglect of various research topics. To bring the behavioural understanding of rebound effects and sustainable design to a higher level, four key steps for future research are suggested.

Considering the growing change towards material simplicity of consumers which consists in rejecting the consumer society by decreasing material needs and their consumption we interrogate in this research the possibility of products to support its transition of consumers. We address in a matrix product characteristics adaptation to pathways of consumers stemming from non-voluntary to radical disadopters. The main question of this work interrogates how products can address the disadoption/material simplicity phenomenon.

Throughout time, the definition of sustainability has been interpreted differently and different philosophies have consequently emerged, each with its own vision of a sustainable society. At the same time, manufacturing firms have focused on environmental improvements, but social aspects have often been neglected. This study identifies 11 philosophies and 51 product design strategies contributing to sustainability awareness, cohesion, and equity, set to ensure social sustainability integration at a manufacturing firm level.

To address the issue of unbalanced development during a product's lifecycle, a change in the approach to product development processes is necessary. One way to achieve this is by development of the product that encourages the inclusion of people in the entire lifecycle. Inclusion is intended to influence societal empowerment via sharing of power among the people included in the lifecycle. This study proposes a framework for assessment of empowerment by the inclusion of people within a product lifecycle.

Introducing new technologies in low-income contexts have potential for positive social impact, and such efforts are made by humanitarian engineering non-govermental organisations (NGOs). The impact can increase if a systemic sustainability perspective is considered in the design process. Sustainability criteria are identified using a literature study combined with an empirical study together with a Swedish NGO. These criteria are synthesized into a simplified Sustainability Fingerprint tool which is evaluated and deemed to be useful when introducing new technologies in low-income contexts.

The implementation of product-service systems (PSS) is prone to the occurrence of rebound effects (RE). This research aims to systematically identify the rebound mechanisms in a PSS context. Through the case study of a use-oriented PSS offer, we showcase a structured way to address RE that led to a comprehensive mapping of 23 mechanisms. The analysis demonstrates an approach to mapping rebound triggers, drivers, and mechanisms within the actors’ realms that designers can apply to ensure the potential sustainability gains of PSS offers.

The environment for powertrain production system engineers is changing radically. This initial prescriptive study proposes a systems engineering framework based on two previous case studies which are under review for publication concerning design of battery plants. The framework was developed based on ISO/IEC/IEEE 15288 standard using Concept of Operations and Model-Based Systems Engineering in a workshop setting, with a focus on visualisation to understand the practical and emotional needs of the humans in the system. The framework was validated by twelve senior project members.

Collaborative robots (cobots) allow for flexible manufacturing, supporting more customised product designs. Although safety is key for socio-technical human-cobot workplaces, existing safety assessment support like standards and guidelines require extensive experience and can be experienced as overwhelming. To make cobot risk assessments more accessible, especially for novices, and increase traceability from hazard to risk to mitigation, this paper presents a matrix-based approach that decomposes this daunting activity into smaller better manageable steps.

The ongoing development of technology and AI facilitates the emergence of service robots in various application fields. Hence, the development of robot-infrastructure product-service systems (PSS) will become increasingly important. Based on the existing literature we propose a new methodological approach for a joint development of robot and infrastructure in the context of a socio-technical system with various stakeholders. We suggest digital models and physical prototypes to synchronize service and product development. The applicability is demonstrated for autonomous waste management robots.

A core predicate of Industry 5.0 (I5.0) is the integration of human, environmental and social factors with new technologies. The integration of collaborative robots offers increased productivity but raises questions on safety and how robots can respond to varying cognitive and physical attributes. This paper discusses the significance of structured ontologies in managing complex information for proactive, safe, and productive human-robot collaboration. The paper highlights the future work to be undertaken to ensure the safe and fluid integration of humans and robots within I5.0.

This study envisions a unified paradigm for design for automated disassembly. The goal is to integrate disassembly insights related to precious material recovery with the design phase for sustainable lifecycle management.Targeting plastic products with embedded electronics, the collaboration between design and robotic engineers aims to program a robot for disassembly for the LEGO® motor (45603) as demonstration, emphasizing a disassembly map as a vital tool. By considering the limitations and strengths of robots, this research pioneers a design for disassembly framework.

Manufacturing process selection presents numerous challenges to designers, including product complexity, consideration of production volumes and part tolerances. This paper introduces a design support tool based on the axiomatic design model to systematically transform requirements into functions and technological capabilities. The results from an evaluation of the implemented prototype tool in the field of medical device design demonstrates its usefulness in selecting the most suitable candidate manufacturing process for a given artifact, while taking into account multiple user requirements.

The fact that successful Industry-Academia Collaborations (IACs) are beneficial for the participants is widely accepted. However, without a target-oriented methodology, the chances for success are low. This paper's focus is the early phase in the creation of such a methodology which is done in a structured way. Furthermore, the goal is to understand the great influence culture plays in creative problem-solving in distributed teams in IACs.

The study explores the affordances of CO:RE Cards in prompting collaborative dialogues surrounding R&D and innovation among creative industry practitioners. The use of CO:RE Cards was evaluated in three sessions within a collaborative dialogue environment. It was analysed that they have prompted the building of a collective language and understanding among creative practitioners through collaborative knowledge construction and mutual learning. We discuss the potentially significant role of CO:RE Cards in nurturing a Community of Practice (CoP) for innovation in the creative industries.

In the design literature, creativity of products is recognized as a combination of novelty and usefulness. However, this mainly applies to the engineering field and within a community of experts. This study investigates how ordinary people understand creativity embodied in products. In an experiment with 70+ participants, 8 products and 5 metrics were dealt with. Novelty resulted as the main predictor of creativity. Usefulness turned to play a minor effect on perceived creativity. It emerged that usefulness has to make ordinary people like a specific product in order to link it to creativity.

This research proposes a virtual environment (VE) for co-designing in early childhood education and care settings using a social VR platform with 3D-scanned childcare rooms. Co-design workshops were analyzed focusing on perceived presence and experience and workshop outcomes. The results indicate a high level of presence in the VE, with unique advantages like facilitating 3D prototyping. However, challenges such as unbalanced prototyping tools distribution were also noted. The study highlights the potential of VEs with 3D scanned rooms in co-design.

In recent years, we have observed an increased interest within the field of design research in both the concept of conviviality and playful approaches as a pathway to co-design and participation. While play is often associated with freedom of expression and creativity, the implication of rules and mechanics in games poses questions regarding the tension between player agency and designed gameplay. This paper aims to provide reflection on these topics through a lens of ‘critical play’ and presents a model to explore games’ potential as convivial tools for imagining collective futures.

Tourism entrepreneurs adapted to regulations during COVID-19 by introducing creative solutions. The crisis was said to be a unique opportunity for innovating sustainable businesses. This study investigates crisis as a driver for innovation and its relevance to service design. Interviews with entrepreneurs are the empirical base that highlights that finetuning existing services is an established approach instead of innovative service design. Few expressed lessons were learned from the creative solutions made during the pandemic, suggesting that strategies for innovation need to be developed.

In the field of individualized medical implants for bone replacement, additive manufacturing offers far-reaching advantages for bridging bone defects and supporting the production of natural form and function. The article uses the example of a large, customized cranial implant to show the challenges of manufacturing with osteoinductive bone cements. The process is shown, starting with planning and design, through to functional integration using adapted manufacturing strategies to create defined porosity.

The accelerated rate of product development and design complexities offered by Additive Manufacturing (AM) has allowed for innovation in the space industry. However, the surface roughness of parts poses a challenge, as it impacts performance and is tied to design choices. Design tools for traditional manufacturing methods fall short in AM contexts, prompting the need for alternative design processes. This work proposes an experimental approach to design for AM investigation using design artefacts to explore a process-structure-property-performance relationship.

This paper presents a method for the lightweight design of robotic links subject to dynamic loads and requirements on the overall system stiffness. It includes (1) a decomposition scheme to enable separate component optimization and (2) an approach based on topology optimization for optimal load path design of screw connections. The approach reduces computing cost and mass of designs with screw connections.

Additive Manufacturing (AM) enhances component functionality in engineering. This study explores AM benefits for hydraulic pumps, by reviewing literature on fluid power and existing AM successes in pumps, pipes, and manifolds. While hydraulic pump research is scarce, the study redesigns a pump, mirroring successes in other hydraulic areas. Predicted outcomes include a 45-85% pressure drop reduction, 35% weight reduction, and fewer parts compared to traditional pumps, achieved with minor design changes. Larger-scale redesigns promise even greater improvements.

Despite its significant advantages in terms of design freedom and the wide range of processable materials, the Binder Jetting technology has not yet received substantial attention in the healthcare field, especially concerning the fabrication of metal components. Hence, the paper investigates how this technology could be exploited to innovate the medical instrument field. Based on selected case studies, some preliminary design indications are derived on how to properly consider the various phases (i.e., printing, depowdering, and sintering) and related challenges of the Binder Jetting process.

Additive manufacturing (AM) became a key technology in the development of innovative products. Advancements have been made to improve economic feasibility. However, ecological sustainability is still an open issue of AM. To improve sustainability, it is crucial to track, visualize, and evaluate emissions along the lifecycle. This paper presents a novel Digital Twin based approach enabling prediction of the product carbon footprint (PCF) and prescriptive measures to improve sustainability. By improving part and process design, a significant PCF reduction was achieved.

In design education, technical drawing training requires a large amount of resources. The aim of this paper is to propose a concept for an artificial intelligence-based tutoring system that partly automates technical drawing education. The educational needs of the students are defined via an error analysis of 100 corrected drawing exercises and the definition of 3 error clusters with 134 different error types. Three sub-concepts with a collection of training exercises are proposed for the tutoring system to mitigate these errors. The resulting concept is validated by a survey with 29 students.

Design Thinking (DT) is considered an innovative and effective pedagogical approach. To enhance the understanding of instructional strategies used by university DT facilitators, we developed the Design Thinking Facilitation Behaviour List, an instrument that matches strategies with observable behaviours in a DT course. We present the design process and validation of the instrument. Results show the instrument's effectiveness in capturing instructional strategies in a DT course, paving the way for future research and improved teaching practices.

Simulation games (SG) present a learning environment allowing 'what-if' analysis of solutions and decisions that may not be feasible in reality. Positive effects of SG are affected by the context of use, users, and the game design itself. Aim of our research is to investigate to which extent it is possible to represent interdependencies occurring between activities, methods, tools, and roles in real engineering projects by a SG and which prior knowledge is needed for the intended learning outcomes. Our research uses a SG prototype and interviews with industry experts and graduated students.

This paper discusses the C-K theory approach and developing templates for student’s use in design courses, specifically for the conceptual design phase. Examples of C-K templates are reviewed to demonstrate the process leading to a design solution. Analysis of student’s work using these templates are presented and discussed with respect to design learning attributes and design innovation during the conceptual design. Student reflections from their final design reports indicated that students did develop knowledge and skills in bio-inspired design, collaboration, and interdisciplinary mindsets.

Managing knowledge successfully is key for an organization to increase its innovative potential. The InKTI method supports the improvement of knowledge transfers in product and production engineering. To ensure acceptance, applicability, and contribution to success in practice, it is necessary to validate the InKTI method. This paper focuses on evaluating the contribution to success in a Live-Lab study with student engineering teams. Based on the results two consecutive field studies have been conducted to evaluate not only the success but also support, and applicability of the InKTI method.

This paper examines how students' ideas evolve into physical prototypes within a digital fabrication design course. Examining the materials used, customization approaches, iterations, and team dynamics of 26 student projects reveals interplays between ideas, available tools, materials and constraints. Findings show the predominance of techniques, design preferences, concept refinement, and teamwork challenges. The implications highlight the value of hands-on iteration for alignment with reality and the need to support collaboration skills alongside technical prototype development.

The optimization of mechanical behavior in safety systems during crash scenarios consistently poses challenges in vehicle development. Hence, a reinforcement learning-based approach for optimizing restraint systems in frontal impacts is proposed. The trained agent, which adjusts five parameters simultaneously, is capable of minimizing loads on a seen and unseen anthropomorphic test device on the co-driver position and is thus able of transferring knowledge. A hundred times higher rate of convergence to reach a similar optimum compared to a global optimization algorithm has been achieved.

Hands are the sensors and actuators for many design tasks. While several tools exist to capture human interaction and pose, many are expensive and require intrusive measurement devices to be placed on participants and often takes them out of the natural working environment. This paper reports a novel workflow that combines computer vision, several Machine Learning algorithms, and geometric transformations to provide a low-cost non-intrusive means of spatially tracking hands. A ±3mm position accuracy was attained across a series of 3-dimensional follow the path studies.

Despite the potential to enhance efficiency and improve quality, AI methods are not widely adopted in the context of product development due to the need for specialized applications. The necessary identification of a suitable machine learning (ML) algorithm requires expert knowledge, often lacking in companies. Therefore, a concept based on a multi-criteria decision analysis is applied, enabling the identification of a suitable ML algorithm for tasks in the early phase of product development. The application and resulting advantages of the concept are presented through a practical example.

This study explores Machine Learning (ML) integration for household refrigerator efficiency. The ML approach allows to optimize defrost cycles, offering energy savings without complexity or cost escalation. The paper initially presents a State-of-the-Art of ML potential to improve functionality and efficiency of refrigerators. Since frost is the cause of significant energy losses, a ML-based Virtual Sensor was developed to predict frost formation on the evaporator also in low -level refrigerators. The results show the environmental significance of ML in enhancing appliance efficiency.

This paper introduces a new concept for the automation of the assembly planning process, to enable Design for Assembly (DfA). The approach involves the application of reinforcement learning (RL) to assembly sequence planning (ASP) based on a 3D-CAD model. The ASP algorithm determines assembly sequences through assembly by disassembly. The assembly sequence is then used for the generation of subassemblies by considering the product contact information. The approach aims to support the creation of the manufacturing bill of materials (MBOM) by automating the assembly planning process.

Circular business models (CBMs) focus on cycling, extending, intensifying, and/or dematerialising material and energy loops to reduce resource inputs and waste and emission leakage. We aim to explore consumer behaviour in circular economy through a systematic literature review to determine barriers and motivators to implementing CBMs, analysing twenty-eight articles. We identified internal motivations, such as economic and environmental concerns; and external factors facilitating engagement with circularity, such as better awareness, and products with design for circularity.

Biobased composites - sustainable alternatives to fossil-based materials, could gain better acceptance if their perceptual handicaps could be overcome. This paper considers the role of tactility in contrast with visual stimuli, as well as the perceptual qualities influenced by tactility. The analysis revealed a significant impact of tactility in forming attributes such as naturality, roughness and strength. Attributes like beauty and complexity remain less affected by touch, and more visual-dominant. These findings may help designers in creating desirable products with sustainable materials.

The integration of sustainability into highly uncertain technology development is key to support manufacturing companies to reduce their environmental impacts. The use of future scenarios to support decision-making in early design for sustainability is promising, but there is a lack of systematic guidelines on how to build them. Through literature review and empirical research scenario-building guidelines were designed. The guidelines are step-by-step activities to be performed in workshops. Results suggest the guidelines were successful in building consistent, plausible, and useful scenarios.

Amidst environmental, regulatory, and societal pressures, integrating sustainability into Product Lifecycle Management (PLM) is key, evolving into Sustainable PLM (sPLM). This paper uses a systematic literature review and text-mining (C-value method) to categorise sPLM research into clusters, assess their integration at organisational levels, and evaluate the level’s maturity. Findings highlight a gap in operational sPLM research. Future studies should bridge the gap between theory and industrial application, enhance sPLM operationalisation, and explore emerging technologies’ impact on sPLM.

In this article, we argue that the low-tech narrative redefined by a French low-tech movement in recent years can be considered as a legitimate research object for design research. Based on the French low-tech movement’s literature, we present the definitions of the low-tech concept as an approach driven by principles and highlight two theorical limitations of this type of definition. Based on a value-sensitive design approach, we present transdisciplinary research results through a value-driven low-tech model and discussed its limitations and possible use as a tool for engineers.

Challenges in implementing digital health in clinical practice hinder its potential. The complexities posed by implementation could benefit from using design practices. To explore the current role of design practices in digital health implementation, designers in the Netherlands were interviewed. The preliminary results indicate that designers contribute to digital health implementation processes, especially in the early stages. Design practices are mainly used for engaging the users, testing concepts, aligning the ideas of stakeholders, and adapting interventions to fit within the contexts.

Developmental Language Disorders (DLDs) affects a significant number of children during early childhood. Speech and Language Pathologists (SLPs) are vital in providing the adequate treatment through Speech and Language Therapeutic Toys (SALTTs) including board games, which have substantial benefits for children undergoing therapy. However, designers require support in designing board games which specifically target child therapy. A framework is proposed to assist designers in designing more efficient, inclusive and usable games which in turn are aligned with therapy goals defined by SLPs.

The global elderly population rises, increasing dementia cases. Built environment impact on dementia health outcomes is known, forming the basis for evidence-based design studies. There's a need for a comprehensive assessment framework due to the complexity of interactions among Architectural Variables (AVs) and Health and Care Outcomes (HCOs). This paper proposes using Model-Based Systems Engineering (MBSE) to create such a framework. It collects data from 105 studies on 40 AVs, 36 HCOs, and 396 interactions. MBSE offers a holistic understanding, aiding healthcare facility design decisions.

This paper addresses challenges in pediatric urotherapy, focusing on low patient compliance and motivation. Informed by creative sessions with children aged 9-13y, a novel urotherapy ecosystem concept is designed. It includes a smart drinking bottle, context-aware reminder watch, home uroflowmeter, smartphone app, and clinician portal. Interconnected products, embodied interaction, stigma-free design, and a digital training buddy aim to enhance engagement, motivation, and patient experience. This concept showcases the potential of integrating diverse design methodologies in healthcare design.

eHealth development faces the challenge of generating evidence about health effectiveness in real-world settings. Designers can potentially support this challenge but must understand health approaches to evidence generation about health outcomes. This case study investigates how health and care professionals conceptualise health outcomes and their evidence generation in eHealth. Our results identify three key conceptual dimensions: effect, meaning, and collection. We discuss how these inform future design competencies to support evidence generation about health outcomes in eHealth design.

Artificial Intelligence-based Computer Vision models (AI-CV models) for object detection can support various applications over the entire lifecycle of machines and plants such as monitoring or maintenance tasks. Despite ongoing research on using engineering data to synthesize training data for AI-CV model development, there is a lack of process guidelines for the creation of such data. This paper proposes a synthetic training data creation process tailored to the particularities of an engineering context addressing challenges such as the domain gap and methods like domain randomization.

This study integrates surrogate models into combined design optimization of a binder cover, considering production cost and performance constraints. Results reveal that models trained on substantial datasets achieve designs close to the global optimum. Incorporating model variance into constraints prediction in surrogate-based optimization improves robustness and accuracy, especially with noisy functions. This modification enhances the likelihood of obtaining feasible designs, reducing computational demands and showcasing the potential of smaller datasets in predicting local optima.

Despite technological and medical advances, amputations continue to increase. Amputees face significant challenges when acquiring and using prosthetic devices, challenges which are made worse as their emotional needs, aspirations, mobility, prosthesis requirements and problems change over time. These challenges require custom solutions for each individual amputee, a fact that current amputee centered prosthesis services tend to ignore. The work reported in this paper contributes an AI based Prosthesis Development Service Framework to cater for the current and evolving needs of amputees.

This study examines the use of graph centrality to identify critical components in assembly models, a method typically dominated by computationally intense analyses. By applying centrality measures to simulated assembly graphs, components were ranked to assess their criticality. These rankings were compared against Monte Carlo sensitivity analysis results. Preliminary findings indicate a promising correlation, suggesting graph centrality as a valuable tool in assembly analysis, enhancing efficiency and insight in critical component identification.

This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.

Hybrid manufacturing enables to overcome additive manufacturing (AM) constraints regarding the maximum feasible part dimension and/or complexity through part separation and subsequent adhesive joining of AM sub-parts. To ensure structural integrity of the joint at a minimum use of substrate volume, the AM inherent freedom of design can be exploited by realizing 3D micro scarf adhesive joints. The performance of this novel adhesive joint design was assessed by conducting optical measurements and static tensile tests using samples fabricated by laser-based powder bed fusion of metals (PBF-LB/M).

The growing use of additive manufacturing (AM) processes pushes research towards studying methods to reduce their environmental impact. The part build orientation is a significant process variable, which can be chosen through the Energy Performance Assessment (EPA), a straightforward method. The paper presents a method for identifying the best part build orientation considering energy consumption. The EPA has been adapted for this purpose, resulting in an approach based on four steps. The method was employed to determine the best printing direction for three parts and two AM technologies.

The production of reusable gecko-inspired dry adhesives has traditionally been done with complex nanofabrication methods such as lithography and PDMS casting. This article presents a way of producing and testing dry adhesive samples using consumer-grade AM machines and equipment typically available in a Makerspace. The samples produced exhibit adhesive properties depending on the preload and surface structure, and we conclude that consumer-grade AM is suitable for rapid prototyping and testing of dry adhesion. However, it is limited by the scale and accuracy compared to traditional methods.

In 3D printing, calibration is crucial for accurate prints, particularly those with complex or intricate features. This paper focuses on developing, manufacturing, and testing a benchmarking model to assess the dimensional accuracy of 3D printers. The aim is to evaluate the 3D printed model against a universally recognized real-world equivalent – a LEGO® brick – using its interlock function as a test with an engaging element. An interlock benchmarking framework aids further analysis of the model's performance, and a checklist for the model is provided for additional visual analysis.

In recent years, interest in additive manufacturing has increased. To overcome challenges such as the correct use of the technology, guidelines are needed to help the user in the fabrication process. However, such guidance is not currently available for all applications. This paper dives into design methods in AM and their transfer to an application example in the field of medical technology. The aim of this paper is to analyse the transferability of a design method for vessel models to small vessel models. To this end, an initial printing study is carried out on simplified hollow structures.

The recent Covid-19 pandemic created an unprecedented transition to distributed design team collaboration in education and industry, and with the sudden change in working environments, researchers must consider novel risks introduced to the design process. This research established that student perception of risk differs through personal experience and the impact of risks are greater when working online. Recommendations are made on how these risks could be mitigated further to allow the successful implantation of distributed design through computed-supported environment in education.

Design sprints complement traditional teaching methods, especially in project-based learning courses. While this approach can potentially change Computer-Aided Design (CAD) usage, it is still underexplored. Therefore, this study explores the influence of design sprints on embodiment-focused CAD activities in project-based learning by examining differences in patterns of CAD user actions, focusing on design space and action types. The case involves two higher-graded and two lower-graded student design teams monitored with a non-invasive method across a two-day design sprint event.

We present a new spatial skills assessment tool, the Virtual Reality Mental Rotation Assessment. Results suggest that the gamified immersive experience enabled increased levels of engagement and motivation and the instrument was likely not biased in favor or people with past virtual reality (VR) experience. Using VR did not appear to introduce additional problems beyond those present in a traditional spatial test, as moving one’s body to change perspective did not correlate with improved performance. Our findings have implications for training and assessing spatial skills in engineering.

Software implementations of traditional engineering design methods can potentially enrich the original methods. A study was conducted to better understand how concept generation can be facilitated using software. Participants of the study were asked to generate concepts using either specialized software, or by using traditional means, for applying function-means modeling and morphological matrices. A concept concretization metric was used to evaluate the results, which indicated that there are both positive and negative aspects of performing concept generation using specialized software.

In design education, integrating digital tools has revolutionized pedagogical approaches. This study examines the impact of VR HMDs and PC screens on learning ancient Chinese architecture using a virtual tour. Involving 22 students, it assessed simulator sickness, user experience, and spatial awareness. Results show VR had a more positive spatial learning experience but the same learning outcomes. VR enhances presence but increases simulator sickness. The study underscores VR's potential and limitations in ancient Chinese architectural education, suggesting future research directions.

This study emphasizes the importance of automatic synthetic data generation in data-driven applications, especially in the development of a 3D computer vision system for engineering contexts such as brownfield factory projects, where no data is readily available. Key points: (1) A successful integration of a synthetic data generator with the S3DIS dataset, leading to a significant enhancement in object detection of previous classes and enabling recognition of new ones; (2) A proposal for a CAD-based configurator for efficient and customizable scene reconstruction from LiDAR scanner point clouds.

The utilization of data in design is a crucial aspect of shaping the product and service development. Despite the lack of extensive research on this subject, this study aims to bridge the gap by introducing the ‘D³IKIT’, a data-driven design process and toolkit. Through workshops, this process and toolkit offer a practical method for creating innovative product and service concepts using data and machine learning. Developed and tested with the participation of 42 individuals, the ‘D³IKIT’ provides valuable insights for both practitioners and academics.

Cyber-Physical-Systems provide extensive data gathering opportunities along the lifecycle, enabling data-driven design to improve the design process. However, its implementation faces challenges, particularly in the initial data capturing stage. To identify those, a comprehensive approach combining a systematic literature review and an industry survey was applied. Four groups of interrelated challenges were identified as most relevant to practitioners: data selection, data availability in systems, knowledge about data science processes and tools, and guiding users in targeted data capturing.

Images provide concise representations of design artifacts and emerge as the primary mode of communication among innovators, engineers, and designers. The advanced of Artificial Intelligence tools which integrates image and textual information can significantly support the Engineering Design process. In this paper we create 5 different datasets combining both images and text of patents and we develop a set of text-based metrics to assess the quality of text for multimodal applications. Finally, we discuss the challenges arising in the development of multimodal patent datasets.

Data-driven design is believed to be empowered by machine learning (ML) with advanced pattern classification and prediction. However, research on how ML can be used to support automotive human-machine interface (HMI) design is lacking. We presented a case study of truck HMI design to understand the current data use and expectations of ML in the design process. Findings show decentralized data practices, the role of expertise in decision-making, and the envisioned reactive use of ML, where we underscore the implications for advancing human-ML collaboration in designing future truck HMI systems.

Despite its transformative impact, a systematic approach to Smart PSS development remains elusive. Addressing this, the study introduces a dynamic conceptual model named DHSmart and its accompanying canvas, adaptable to various contexts and technological advancements. Notably, it offers a structured approach to designing ‘Smart’ in Smart PSS, capturing the interplay between data, humans, and smart systems while directing digitalisation that achieves competitive advantage. It also serves as a unifying framework, enabling meaningful interdisciplinary contributions in theory and practice.

This paper examines the role of remanufacturing in healthcare as a key circular design strategy, particularly for medical devices, assessing its socio-technical, environmental, and economic dimensions of sustainability. Through a detailed case of ultrasound catheters, it demonstrates how remanufacturing can lead to resource conservation, cost savings, and enhanced product lifecycles in health care without compromising quality and patient safety. The study argues for systemic changes in healthcare practices to fully integrate remanufacturing, underscoring its role beyond a technical solution.

The landscape of reuse and repair (R&R) activities for manufactured products is vibrant: new European laws, research projects, local initiatives. Our aim is to capture the current and future challenges of the field through an industrial workshop held at the ICED23 conference. A collective reflection was conducted with three French stakeholders: a Product Responsibility Organization, a social and solidarity organization, and a private company producing water-driven dosing pumps. The study results in a multi-level perspective on the R&R value chain and four R&R future scenarios.

While the “useful life” of products plays an important role in the balance of sustainability and lifecycle assessment, the concept of durability, as the main measure of useful life, is still ill-defined. This paper critically considers the limitations of the current definitions and approaches to durability, by reflecting on the complex interactions of the viewpoints of engineering design teams, users, society and business economics. A new definition is proposed for durability relating to the useful life goals for a product within its techno-socio-economic context.

This study, conducted with Northvolt, examines battery system recyclability and disassembly dynamics. It introduces indices for material and product recyclability, along with disassembly time assessment. The goal is to create a design tool to streamline the evaluation of battery disassembly, aiding in designing recyclable and serviceable components. These methodologies serve as a blueprint for enhancing battery systems' overall sustainability and circularity design, presenting a base for future product development in alignment with environmental and economic objectives.

Reusable packaging systems are emerging as a promising solution to combat the growing issue of packaging waste. While consumers generally recognise the environmental advantages of reuse, their actual reuse behaviours may result in insufficient reuse and an unintentional undermining of sustainability efforts. We conducted two creative workshops, created a large number of potential design interventions and further developed them into 16 design strategies for consumers' continued usage of RPSs through thematic analysis. These findings can inspire future research and the development of RPSs.

To enable the circular economy paradigm, it is important to design easy-to-disassemble products. A new method, known as Design for Circular Disassembly (DfCD), has been proposed to enhance product disassembly performances toward circularity. The method was tested on a small-sized product, showing promising results. However, its applicability to medium-sized products remains unclear. The goal of this article is to assess the effectiveness of DfCD on medium-sized products, particularly washing machines. Results showed DfCD can be extended to medium-sized products, increasing model complexity.

The increasing proportion of software in technical products means that both the products and the associated development processes are becoming more complex. An integration of the existing lifecycle considerations Application Lifecycle Management and Product Lifecycle Management into an interdisciplinary System Lifecycle Management promises to make the complexity manageable. To obtain an overview of the current benefits, challenges, requirements, approaches and open research gaps in the context of an ALM-PLM integration, this contribution presents the results of a Systematic Literature Review.

The evolving needs of customers and stakeholders necessitate the collaboration of diverse system elements within a cyber-physical, socio-technical network. Socio-technical systems are characterized by numerous complex interdependencies as well as by endogenous and exogenous influences. A key issue that developers must address is the mitigation of data and information uncertainties. The authors introduce an approach that operationalizes Design Thinking as a supporting sufficient condition within the context of designing system models in the realm of Model-Based Systems Engineering.

The paper investigates approaches for implementing circular economy strategies, such as designing mechatronic products for longer service life by replacing, upgrading, or remanufacturing subsystems. The research aims at applying MBSE to provide the necessary support for dealing with the complexity of these approaches. Requirements and challenges for the development of MBSE support in this context are examined. An example of an EV battery system model shows the benefits and challenges of comprehensive system modelling and traceability in the context of circular economy strategies.

We have a unique opportunity to consider justice in our design of a cleaner energy system. This paper introduces the Justice-Embedded Requirements Engineering (JERE) process, which was created to enable engineers to consider project goals, requirements, and potential project impacts on historically marginalized, climate-vulnerable communities. Given JERE’s focus on energy technologies, we demonstrate the process using a concentrating solar power example. JERE provides engineers with a tool to better ensure justice is embedded in the system design process from the beginning.

Implementing a product design that incorporates circular economy aspects is a highly intricate task. Its complexity stems from various aspects, such as the interdependent solution space and the challenge to evaluate the impact of circular design in early development phases. To facilitate informed decision-making, a support system is necessary that integrates product-oriented circular measures, and derives their effect on the product’s design and its circularity. We present an approach for such a support system, including its evaluation on the design of an automotive center console.

The European Green Deal aims to reduce global emissions by minimizing the use of resources. Early validation of products helps to reduce rework, costs and therefore resources. However, validation of complex mechatronic products is challenging due to interdependencies. Companies are applying systems engineering to meet this challenge. Current validation approaches are insufficient in the early design phases. This paper presents an approach to validation using the system architecture in the B2B sector. A machine tool and a custom built machine are presented as evaluation examples.

Mental Imagery is a focus for design cognition research, with most research focusing on visual mental imagery, it has been highlighted that mental imagery encompasses more aspects than visual, including emotion known as multimodal mental imagery. So as researchers and educators we need to understand the cognitive process and how to best stimulate it. This paper looks at design students use of visual and emotional mental imagery and its impact on their ability to produce creative outcomes during the ideation stage of the design process.

This study explores the construction, characterization, and measurement of the design space using a novel approach that centres on First Occurrences (FOs) and Re-Occurrences (ROs) as metrics. Expert architects' cognitive behaviours during the design process were investigated empirically to gain insights into design space evolution. Findings reveal a consistent generation and revisiting of ideas, signifying an ongoing development of the design space. Future research should incorporate diverse methodologies and broader participant sample for a more comprehensive understanding.

This research aims to explore the existence of metacognition during the use of text-to-image generators in the design ideation stage. We recruited five participants with a design background to use Midjourney as an ideation tool and to produce three sketches at the end of their task. Through semi-structured interviews and retrospective verbalization, we collected data on their thought processes. The qualitative analysis revealed clear indications of metacognitive engagement, such as monitoring and evaluating, which opens the path for future research into the impact of AI on design cognition.

The relationship between culture and creativity has sparked the interest of researchers for decades. Although researchers have attempted to establish a connection between culture and creativity, the precise relationship between the two remains ambiguous. The current paper examined extant literature on the subject matter and synthesized the relations between culture and creativity in ideation over the past twenty years. The present study expounds upon the utilized samples, measures implemented to assess creativity and culture, and the study results.

Problems, solutions, and design itself have been framed as spaces in design research. Visualising the design space and how designers explore it, can give insight into the design process. This paper reports on a novel method for creating Design Space Visualisations (DS-Viz) that generates 2D and 3D representations of design spaces. We show how DS-Viz can be used to investigate designer behaviour, design processes and outcomes using a game-based design activity as an example. We discuss DS-Viz implications for design research highlighting potential benefits to design education and practice.

Understanding team diversity has become essential for modern-day organisations. This study explores the impact of knowledge diversity in design teams through computational simulations. By analysing design space characteristics, we study how diverse teams perform compared to less diverse counterparts. Results reveal that highly diverse teams exhibit increased efficiency, quicker convergence, and larger but sparser design spaces. This work contributes to understanding the impact of knowledge diversity in design teams and sets the stage for future systematic studies of diversity.

Decentralized E/E architectures (EEAs) are facing challenges and bottlenecks in implementing new features and technologies. The shift towards centralized EEAs has many challenges and needs to be handled pragmatically by considering concurrency with the existing EEAs. To address the challenges of architectural shift, the paper showcases the quantitative comparison of EEAs and visualizes the flow of shifting sub-function and hardware blocks using the Sankey diagram. The observations from the diagram as a result will support OEMs to analyse and take decisions on the shift while developing EEAs.

Using foresight methods such as scenarios, possible futures can be described and anticipated. Needs and requirements as well as product properties can be derived from that, which is necessary to plan successful products for future customers. Changes that occur in the future development can be identified with monitoring and the expected future can be adjusted. A consistent understanding of the use of monitoring for the product engineering process does not exist and is developed in this paper. Thereby, monitoring is considered in the context of validation and located in iPeM.

This study explores the application of competency mapping models, incorporating in knowledge management for consulting firms. It evaluates 15 different models, focusing on their suitability for consulting contexts based on data collection, advantages, risks, and limitations. The findings indicate that AI and ML-enhanced competency mapping models are particularly more effective in consulting firms. Finally, the article proposes three key applications of these models for improving knowledge management in consulting firms via empowering communities and collaboration.

In today's competitive market, design firms are under pressure to enhance the speed of their decision-making processes to foster innovative products. Due to specialized nature of contemporary technology, enterprises are directed to consider Design for X factors during the product development process like environmental impact and production efficiency. This transformation leads to an increase in gaining knowledge from different fields. This paper presents a comprehensive framework for efficiently acquiring and applying knowledge, aimed at improving knowledge management and sharing practices.

This paper outlines the evolution of decision-making spaces through selceted instantioations, analyzing the role of design in their utility and identifying preliminary patterns in spatial layout. It builds on the combination of two research fields: A) Decision support systems and B) Creative Spaces. The paper aims to take a first step towards combining these two existing research fields by focusing on the spatial design aspects that foster the convergent aspect of creativity and to provide guidance for further research on the design of decision-making spaces.

The amount of data within the product development process requires a structured approach to coordinate them. Knowledge management solutions, such as ontologies, are a suitable way of linking data and representing semantic relationships. However, making all relevant data usable to ensure their target-oriented application is still a challenge. Thus, this contribution presents an approach to identify and classify heterogeneous data in product development. Besides this single ontology approach, interface solutions for data integration into an ontology are proposed.

This paper aims to identify gaps between the reflection frameworks and students’ practice. Through a systematic literature review (PRISMA) and a qualitative survey of students, 12 reflection frameworks were reviewed, and the 13 challenges students faced at design projects in two design schools were identified. The results indicate three gaps between theory and students’ practice: skills of designers, granularities of reflection items, and supports of bridging reflection to next actions. This study provides insights for future development of support tools to bridge the gaps in design education.

The aim of this study is to identify: (a) challenges in understanding and using design methods, and (b) features expected in an enhanced repository of design methods, by design students. These are identified through interviews and a survey. The major findings are (a) less (time for) practice leads to weak understanding and challenges in using design methods and (b) students expect to have a method recommendation system based on problem context. The findings from this study will guide in developing a user-centric, enhanced repository of design methods to aid design practice and pedagogy.

Designers’ roles are at a turning point of transforming design from an expert-driven design process within an assumed social and economic order to design practices that advocate design-led societal transition toward more sustainable futures. Design education should be adapted accordingly. Introducing the transition design concept into established design education promotes the sustainable society transition by involving more systems thinking from designers in various sectors. This study reports on a pilot practice and reflection on introducing the transition design concept to design students.

This paper investigates PhD student’s perceived feeling of project ownership and how it influences their project management. Drawing on psychological ownership (PO) theory and the PO mapping method, this study identifies distinct project ownership paths among students, revealing how project engagement can be improved. The findings demonstrate the importance of carefully considered and timely student-supervisor expectation discussions to help influence project ownership. To this end, the paper offers several routes of ownership that can influence project ownership among PhD students.

Problem-based Learning is an established learner-centred pedagogical approach for developing skills and competencies. This paper presents the evolutionary development of a Massive Open Online Course, titled "Design for the Real World: A Problem-based Learning Approach", with the aim to empower learners to independently pursue problem-based inquiry using design methods and tools, thereby fostering creativity and life-long learning.

E-learning materials require a high initial development effort but can then be used by a large number of students with little effort. It therefore seems reasonable to develop and use these across universities. Particularly in the field of Engineering Design Education, standardized principles through norms and guidelines lead to a high degree of transferability. For the development of such e-learning offers, however, the context of application must be identified. As a fundament for the development, this publication analyzes Engineering Design Education in Germany.

With the swift entry of artificial intelligence (AI) into everyday life, human-product interactions are becoming increasingly complex. We suggest an ecosystem-minded, humanity-centered design approach to better understand this complexity. Simultaneously with the development of interaction types, discussions and developments on theories of mental models are crucial to understanding and improving the nature of these interactions. In this paper, we address the gap in mental model theories and extend Norman's conceptual model at three dialogue levels: dialogue in language, mind, and use.

With the shift from mechanical value delivery to mechatronic value delivery, development environments are becoming more complex. Intuitive decision-making in development management is becoming increasingly challenging. Meanwhile, the use project management software is spreading, bringing about a new level of project data for development projects, holding to potential to enhance human decision making. To this end, the paper presents an extension to factor analysis of mixed data, which can facilitate usage of exploratory data analysis to improve decision-making in development project planning.

This paper explores the role of integrating behavioral science to refine human-AI interaction, essential for ensuring safety and efficiency. Advocating for empathetic, user-centric design, the paper illustrates how behavioral insights can effectively inform AI-integrated designs, making AI applications more intuitive and ethically aligned with diverse human needs. This approach can ultimately enrich interaction across systems, fostering a more harmonious human-AI synergy.

This study proposes a diary method enabled with IoT sensors for user research in design. It addresses the limitations of diary methods by incorporating sensor data to trigger user self-reports. The focus is on how sensor data influences self-reports and designers' perceptions. Results show that sensor-enabled diaries offer more diverse content and overview of users’ lives and designers perceived the proposed method potentials, suggesting significant potential for IoT in user research.

Human-AI collaboration (HAIC) is a promising strategy to transform engineering design and innovation, yet how to design artificial intelligence (AI) to boost HAIC remains unclear. Accordingly, this paper provides a new, unified, and comprehensive scheme for classifying AI roles. On this basis, we develop an AI design framework that outlines expected AI capabilities, interactive attributes, and trust enablers across various HAIC scenarios, offering guidance for integrating AI into human teams effectively. We also discuss current advancements, challenges, and prospects for future research.

The role of Artificial Intelligence (AI) in design is clearly growing. One of the tenets of the paper is that stimulation could be among the design processes mostly benefitting from the introduction of AI. Available contributions have been reviewed to understand the current support AI can give in design inspiration and ideation. We also reflected on what AI should and ahould not do in the future: a framework is proposed. Based on the reviewed contributions, in no case, AI is seen as a substitute of designers. Most contributions originate from the IT domain and have a demonstrative purpose.

When designing battery packs, opposing target-conflicts and design goals arise due to the different disciplines involved in the development process. Looking at the available technologies for battery pack design, different solutions can be found on the market. The development of a battery pack for use in various scenarios therefore presents an interesting use case to evaluate product modularisation approaches. Hence, this paper discusses the application of the Integrated PKT Approach based on a fictious use case of a modular battery pack to derive potential starting points for its improvement.

PLM systems are key enabling systems in the development of today’s products. Introduction of a new PLM capability is an expensive and risky undertaking. Many implementation projects end in tears in the sense that they are frequently late or even cancelled. In this paper, a federated PLM architecture pattern – Genesis – is introduced and evaluated against prevalent PLM approaches. From an architecture perspective, Genesis with its two distinct integration tiers decrease the number of integration points and thus cost and complexity.

The growth in e-commerce has led to increased demand for logistics services. This puts a pressure on third-party logistics (3PL) providers who struggle with increasing operating costs and heightened competition. These providers could potentially exploit the advantages of modularisation, but few studies address the design of modular logistics services. This study explores modular design of logistics services and proposes a model to describe logistics service architecture based on product architecture. A case study shows that warehousing services can be described in three domains.

This paper examines upgradability through modular product design, aiming to extend lifecycles and promote cross-generational use. It builds up on a preceding work, a systematic literature- review identifying four fields of action in future-robust product design. The paper itself contains an in-depth interview study with 17 experts from industry and research to validate and expand the literature-based fields of action. The results provide insights into the application and employment of future-robust product design, with a focus on adaptable product architectures.

This paper conducts a systematic literature review about the management of rule-based product-portfolios with high variance. This type of portfolio is particularly distinctive in the chosen use case of the German automotive industry since it satisfies the requirements of mass customization and modularization. However, the research field of variant- and complexity management is manifold and multidimensional. This paper systematically searches the databases Scopus and Web of Science using the PRISMA method and briefly summarizes the main contributions and comparing them by elaborated topics.

Lab-on-a-Chip (LOC) products for point-of-care diagnostics have gained significant attention. However, there is a lack of systematic approaches for LOC product development. To address this, we introduce an Attribute Dependency Graph exemplary for a magnetophoretic LOC system for pathogen detection. This model organizes dependencies between the design variables and crucial quantities of interest, such as detectability, cost per test, and test duration. The obtained model helps to manage design complexity and can be adapted to other LOC approaches.

This article introduces a Human-centred Engineering Design (HcED) practice, which values human aspects. This practice engages deeply into (1) human geometry and motion for specific tasks, (2) product and manufacturing complexities through rapid prototyping, and (3) the broader human task context. This cross-disciplinary method combines ergonomics, AM, sensor applications, and multiple design practices. The framework provides concrete tasks to drive innovative designs in engineering. The study, grounded in design research case studies, led to five new Paralympic Rowing world records.

Design is associated with many benefits for businesses, ranging from successful products and brands to greater economic success. However, companies still have difficulties in unlocking the potential of design. This publication develops a literature-based conceptual model that outlines necessary organizational factors and their interrelation to create an environment for design and designers to thrive. At the same time, it explains why companies are having difficulties in leveraging the benefits of design. Further research directions are derived to strengthen the role of design and designers.

This study delves into Industry 5.0's Human Centric Manufacturing and Systems (HCM and HCS), emphasizing worker welfare and sustainability. Industry 5.0 advocates a human-centric approach, built upon three foundational pillars safety, inclusivity, and empowerment. The paper highlights the successful integration of Design and Systems Thinking in HCM and proposes a workshop at MADE COMPETENCE CENTRE proving the effectiveness in raising awareness and promoting Human-Centric principles throughout the system life cycle and in achieving Human-Centric Systems (HCS).

Addressing VUCA challenges in product development, the Human-Centred Analysis of External Variety (HAV) method is introduced. Focusing on the early stages of new product development, HAV provides a structured approach, reducing uncertainty through quick market analysis, customer engagement, and goal setting. HAV is illustrated using a cargo bike product family case study and emphasizes its role in aligning human-centred methods with project goals. The first steps of the HAV method are presented, but also the need for further action towards a validated and elaborated method is discussed.

Gestures are a preferred mode of interaction for smartwatches and these are commonly elicited either by expert/designers or by users. This paper aims to understand the most promising approach for generating and assessing gestures by employing two empirical studies to validate a set of expert/designer-generated gestures. It further gains insights into the users' mental models, their role as co-creators, and their considerations for one-handed gestures in smartwatches, and discusses the virtue of incorporating both approaches of gesture elicitation.

The growing research field of gamification promises new insights and innovative methods for the active design of user experience. This article examines the extent to which gamification complements the established methods of user experience design in the context of product development. To this end, assessment criteria are proposed that can be used to evaluate human-centred design methods. A qualitative comparison is then used to determine the added value of the innovative field of gamification for future user experience design in consumer products.

This paper examines the critical concept of "reasonably foreseeable failures and misuse" in product design. The psychology of failures and the ethical/legal implications are highlighted. The approach aims to provide a comprehensive understanding of the challenges associated with integrating reasonably foreseeable user failure and misuse into the design process. By taking a proactive approach to failure and misuse, designers can not only increase product safety, but also stimulate innovation that takes into account a wide range of user behaviour, including in unexpected circumstances.

The increasing use of disposable takeaway cups negatively affects the environment due to their non-recyclability and waste. This study investigates the adoption and sustained use of reusable takeaway cups in Belgium, including routines and experience. We did structured interviews (n=58), a survey (n=300), diary studies (n=8) and interviews with baristas (n=8). The findings provide recommendations including clear communication, incentives, and user-friendly cup design. Future research should test interventions and consider regional and cultural variations in sustainable coffee consumption.

The benefits of cycling are well-established, but how to engage people with bikes for active travel is far less understood. This study offers insights into the motivations, barriers, and design solutions associated with cycling. Interviews with 30 bike-share users in Glasgow, UK found a key motivation to be commuting time efficiency and the predominant barrier was shared space with vehicles. Alignment between the most mentioned design solution, dedicated cycling lanes, and the significant barrier of sharing space with vehicles underscores the importance of behavioural design interventions.

In the age of digitalization, navigating through vast amounts of data is a challenge. Augmented analytics, which often goes unnoticed by employees, has the potential to support effective decision-making. This study examines the impact of digital nudging on editors' cognitive load and behavioral change towards augmented analytics, providing insights into behavior change design. Combining theory with expert interviews and workshops, this study results in five nudging strategies. The findings reveal varied triggers influencing behavioral change, emphasizing stakeholder involvement in the process.

Weak ties contribute to an individual’s happiness, health and career, yet networking events supporting weak ties are often considered ineffective and unenjoyable. More support is needed to aid the design of these experiences. This inductive qualitative study explores how weak tie interactions occurred in a 3-day event for a professional networking community. Data was collected from multiple behavioural settings through direct observation, semi-structured interviews and archival data. Results highlight five structures underpinning weak tie interactions and associated implications for design.

Extensive research found many barriers and drivers in second-hand clothing (SHC) acquisition. This study explores their relationships and the role of design in enhancing SHC experiences. 16 semi-structured interviews revealed insights into personal experiences and emotions. Customer journey mapping highlighted 5 design interventions: a. effective branding and marketing, b. appealing clothing presentation, c. facilitating garment search, d. aiding quality inspection, and e. optimizing price-quality balance. Future, quantitative, research is needed to confirm the findings for a wider public.

To enable a truly circular economy in product engineering, the development of products in generations must be considered. Thus, we strive to enable a forward-looking circularity approach, proposing the integration of system generation engineering (SGE) with circular economy principles. By analysing the qualitative interrelations among product generations driven by distinct value preservation strategies on various value creation tiers ("R-strategies"), we extend prior SGE research to advance model theory and support practical application of circular product engineering.

This work presents a Set-Based Design inspired approach for generation, evaluation and reduction of a solution space of alternative product concepts. Also, the aspect of how to implement the process in an industrial environment was investigated. The hypothesis, confirmed by case studies, is that it can be done using existing methods like Enhanced functional modelling, brainwriting, the Gallery method, Axiomatic Design, causal diagrams and Pugh matrices. The method can be successfully introduced in a timeframe of a few working days and support development engineers in the concept design phase.

The spatial arrangement of objects in residential environments is a crucial indicator of occupant behavior, shedding light on the complex dynamics of their interaction with the interior. This study introduces an object-based graph method for decoding urban home interiors, examining the co-presence of objects to uncover domestic behavioral patterns through indoor imagery analysis. By integrating centrality metrics with objects in graphs, we gain deeper insights into household behaviors, which provide empirical evidence for future interior design.

In Norway, the housing challenges faced by migrant workers highlight increasing inequality. Designers striving to create more equitable and sustainable futures must adopt system-oriented tools and human-centered approaches. Utilizing giga-mapping and narratives as prototypes helps reframe issues, enhance communication, and simplify complexity into actionable steps. However, successful outcomes demand refined application and careful attention to communication, necessitating significant investment of time, skills, and effort.

Design hackathons offer a unique research opportunity to study time-pressured collaborative design. At the same time, research on design hackathons faces unique methodological challenges, prompting the exploration of new research approaches. This paper proposes a new data-collection framework that leverages a virtual format of hackathon events and enables a deeper insight into hackathon dynamics. The framework applicability is presented through a case study of the IDEA challenge hackathon, in which different intrusive and non-intrusive data collection approaches were used.

This paper introduces a method to derive variation shares in engineering design, merging the Contact & Channel Approach (C&C²) with the model of PGE - Product Generation Engineering. It focuses on one-piece parts, enhancing precision in identifying component variations. The integration allows for detailed qualitative modeling and subcomponent analysis, improving design efficiency and innovation, illustrated with bottle examples. This research advances engineering design by enabling more accurate categorization of system variations.

Innovation-driven firms must adopt an open design strategy for competitiveness. Co-design games are recommended to foster an open, equal, and collaborative culture. However, most studies focus on the West. East-Asian countries, notably China, face unique challenges due to cultural disparities and inertia. This paper explores design games in the Chinese context through a case study with traditional workshops, revealing participants' perspectives and the potential impact on cultural inertia.

The concept of volumetric spaces has evolved in the Architecture, Engineering, and Construction (AEC) sector, ranging from traditional onsite built spaces to modern modular houses and portable architecture. Despite this diversity, there lacks a comprehensive framework to analyze volumetric space products across dimensions. This paper presents a conceptual framework based on abductive reasoning and qualitative analysis, aiming to explore interdependencies among dimensions. It hypothesizes that volumetric space dimensions are perceived differently and demonstrate interdependencies.

Designing an equally usable and emotionally appealing product remains a challenge for product developers, not least due to conflicting goals. Product developers need to constantly map the affective user requirements to the product, whereby the requirements for the emotional and usable product design often cannot be equally addressed. The systematic approach presented can help product developers in conflicting decision-making situations to represent these affective user requirements by selecting and prioritising context-relevant influencing factors using multi-criteria decision-making methods.

This research explores the impact of Design Thinking (DT) on Organizational Behaviour, explicitly focusing on individual employees, the micro-level of the organization. The research runs a single-case study within an Italian bank adopting DT through its HR department. The study proposes a model illustrating how DT adoption influences specific individual behavioral constructs: motivations, attitudes, capabilities, and creative behaviors. The study finds that fostering confidence in the creative process enhances human engagement and proactivity.

Over years of practice, industrial designers have developed three steps that always lead to a design solution: inspiration, ideation, and implementation. Usually, the result is a product, but sometimes it is a demonstrator, a versatile concept, combining design, engineering, and art. However, designers usually are not aware of this notion. But if the result is different, how does it affect the design process? The analysis of the contextual inquiry study of two demonstrators shows that the transformation should happen during the ideation phase, where abstract concept becomes a story.

This study conducts design-driven meaning innovation research based on an interpretation of new meaning through qualitative and quantitative research rooted in design practice and builds design-driven theories, methodology, and highly replicable methods. It presents a new design approach to design thinking called ‘design methodology and method of meaningful products’. The design process and framework integrate words, visuals, and functions to interpret and create new meanings. It highlights the importance of design semiotics in overcoming the limitations of traditional approaches.

The Digital Thread is a system that connects different phases of the product lifecycle and the related data across one or more companies in the supply chain. This work aims to develop a graph data model of the Digital Thread, in the context of the vision of polyglot persistence, that interconnects the different phases of the lifecycle and their corresponding data models, processes, and IT systems. This work proposes a Digital Thread Graph that integrates a Digital Model and a derived Digital Twin, using object and relation attributes for view creation and filtering while minimizing redundancy.

Shorter product lifecycles are also leading to even shorter planning times for the development of production systems. In most companies, the restructuring is carried out within a few weeks during the annual holidays. Digital tools such as simulations or the digital twin are used to avoid delaying the restructuring during this time. However, the introduction of a 3D model of the factory is often the first point of failure for many companies. This article proposes a six-step process model that enables the transition from 2D to 3D design. The process model was evaluated in a research project.

Digital Twins (DTs) are intended to be utilized for a wide range of applications, promising benefits like visualization, monitoring, simulation and control of a physical system. Not only the development of a DT for a production facility is a time-consuming task, but also to keep the virtual counterpart up to date in the use phase. In this work, the implementation of an industrial-scale DT of an automotive supplier production site based on a Discrete-Event Simulation (DES) model with self-optimization capabilities for easier maintainability and increased simulation accuracy is presented.

Sustainability is not a new trend, but a mandatory measure for responsible and environmentally conscious use of resources. The digital transformation offers new potential in engineering and competitive advantages for companies through innovative technologies like the digital twin. Based on digital twins, products can be optimized, and new business models can be developed. Long-term added value is generated for manufacturing companies and customers. This paper explores the benefits of digital twins in the context of sustainability. Current challenges and use cases of digital twins are analysed.

Digital Twins are perceived differently between and within industry and academia regarding applications and potentials. For this reason, a round table was formed based on the Digital Twin Workshop of the Design Conference 2022. One of the results of this round table is this contribution, which deals with a survey within the industry. The survey captured the understanding of the different roles in the creation and use of Digital Twins, the requirements and hurdles as well as the perception of methodological support. In addition, factors that influence the perception were identified.

Many of the methods and tools proposed in the literature for validating product concepts are matrix-based, but they do not allow the results to be communicated easily and comprehensibly. This is a major obstacle to the integration of such methods. The poor communication of the results of a method therefore represents great potential for better integration of sustainability aspects in product development. In this article, an approach is proposed on how the results of the MECO matrix can be converted into a clear visualization of the reduced environmental assessments.

Industry 4.0 deals with a digital revolution, integrating technologies like Virtual Reality, Augmented Reality, Digital Twin, and Robotics. This transformation unlocks opportunities in engineering, addressing sustainability challenges. Stakeholders use I4.0 technologies, including Industry 5.0, to measure sustainability indicators. This paper reviews I4.0 technologies for assessing sustainability, offering an SI framework in manufacturing and smart product design. Decision-makers can optimize environmental, social, and economic impacts in smart product design using this framework.

Trade-offs involving multiple criteria that cannot be satisfied at the same time are ubiquitous in engineering design activities. Navigating trade-off decisions can be challenging, especially when it comes to sustainability-related decisions in early-stage projects. Through a systematic literature review, we unravel the challenges related to sustainability trade-offs in technology development, concept design, and other front-end of innovation activities. The challenges, which were evaluated by experts from industry and academia, range from technical and organisational to psychological aspects.

Companies need to implement low-carbon operations, including product-related innovation initiatives. The literature on low-carbon product design has grown, but existing studies are primarily theoretical. This empirical study identifies design measures adopted by companies committed to GHG emission reduction. A qualitative analysis of the climate change reports from a sample of companies reporting to the CDP was conducted. Design measures were identified and classified. The findings shed light on design measures contributing to emission reduction in different product lifecycle phases.

The paper presents a novel approach to visualize the impacts of design heuristics in sustainable product development. Focusing on the integration of ecological sustainability, our research introduces a multivariate visual approach, combining Sunburst Charts and Radial Heat Maps. The methodology, based on a description standard for design heuristics, enhances knowledge sharing and provides an intuitive tool for designers. A dynamic three-series radial heatmap facilitates comparisons across different product properties, fostering informed decision-making in product development.

Quotation of engineer-to-order products provides substantial challenges in effectively managing engineering resources. This paper describes an approach that rationalizes this process by integrating multi-disciplinary design analysis and optimization with a new open-source library for managing engineering knowledge before and after optimization. The approach is applied and evaluated on mechanical rock excavation machines. Adapting the approach and considering the user feedback gathered can lead to an enhanced design space overview during quotation and thus more competitive product offerings.

Generative design is now a core capability of today’s CAD systems enabling broader exploration of the design space. This paper presents a desktop review of 15 tools with the aim of characterising where the tools are used in the design process and to what extent they can be considered creative.The results showed that, despite their increasing capabilities, GD tools are unable to exhibit all phases of creativity and cannot be applied in all stages of the design process. This highlights the criticality of the human in design providing opportunities for GD to augment designer creativity.

This paper presents a systematic approach to multidisciplinary design automation in electric motor engineering, focusing on component design. Existing work in this field is often limited to a single level and lacks portability and reusability. The approach aims to enable simultaneous component and system design, with comprehensive models capturing specifications and architecture. Feasibility is demonstrated through the automated design of additive manufactured hairpin windings.

Most manufacturing companies have tested and adopted sustainable design methods to navigate their product's environmental transition. While successful at first in enhancing their environmental performance, these companies later struggle to pursue their environmental transition. This entails mastering two critical competencies: identifying transition unknowns, and fostering adequate design efforts. This action research with an innovative design intermediary - which has completed four sustainable packaging missions - reveals the specific design barriers encountered for environmental transition.

This paper discusses approaches for tradespace analysis, exploration, and visualization to address multi-objective decision-making. Next, computational tools for early-stage tradespace analysis to enhance programmatic decision-making are introduced via a vehicle design example to demonstrate the effectiveness and capability of the method. Using a smaller sample of technologies in this problem a synthetic tradespace spans the space of potential and available solutions and provides an opportunity for design engineers to develop an insight into possible technologies and solutions within the tradespace.

Chronobiology studies physiological variations due to the time of day, an unexplored factor in design research. This paper explores the effect of time of day on designers' physiological responses in idea generation. Convergent (CT) and divergent (DT) thinking, as building blocks of designing, are explored using pupil dilation as a proxy for cognitive load. Time of day and educational background are explored for engineering and industrial designers. Results show a larger pupil diameter in the afternoon than in the morning, especially for DT, with higher values for industrial designers.

The emotional experiences significantly impact students' design processes. This research presents the EmotionProbe, a design probe tool for capturing design students' emotions while designing. The tool allows simple data collection, offering important insights into the students' design experiences, introducing the spectrum of emotions that design students go through, and showcasing various analysis approaches, allowing for a richer understanding of the design's emotional dimension. The research highlights the need for an emotional tool supporting students' emotional well-being while designing.

This study explores design strategies that designers adapt in different design environments and assesses cognitive load associated with acquiring, comprehending, and implementing strategies in concept product design phase. The findings from qualitative and quantitative analyses show that the traditional design environment exhibits a greater intrinsic load, thereby fostering a greater diversity of ideas, design strategies, and solutions. The digitally-mediated design environment demonstrates extraneous load, resulting in a tendency towards similarity in ideas, design strategies, and solutions.

This study aimed to identify and compare the EEG activities associated with semantic and episodic memory retrieval during creative processes. Episodic and semantic memory induction studies were conducted and EEG was used to collect data. The results showed that (i) Episodic and semantic memory retrieval are related to the frontal lobe area; (ii) Semantic memory retrieval is evoked more swiftly compared with episodic memory retrieval (ii) Prior to episodic memory retrieval, semantic memory retrieval is evoked first.

This article presents an fNIRS experiment investigating cognitive differences between physical and digital prototyping methods in designers (N=25) engaged in open and constrained design tasks. Initial results suggest that physical prototyping yields increased hemodynamic response (i.e., brain activity) compared to digital design, and that constrained design yields increased hemodynamic response compared to open design, in the prefrontal cortex. Further work will seek to triangulate results by investigating potential correlations to design processes and design outputs.

Increasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach.

In this exploratory study, designers’ preferred learning media in learning to design for Additive Manufacturing was explored. Furthermore, by deploying an online survey questionnaire, factors such as years of experience, and the categories of products designed were explored to understand how they influence designers’ learning media with a response from 201 respondents. The results show that designers have learned how to design for AM through experimentation and present the first step towards developing an appropriate Design for Additive Manufacturing knowledge dissemination approach.

Unlocking additive manufacturing's (AM) potential requires designer expertise. Design for additive manufacturing (DfAM) addresses this need but faces barriers, such as uncertainty in scope of integration, design support selection, result validation or time investment for incorporating design support. This paper proposes a framework aligning SCRUM (agile framework) to aid designers in overcoming those barriers. The goal is to pave the way for a better exchange between academia and industry and fostering iterative development of DfAM support tailored to designer needs.

Tools for analysing additive manufacturability often employ complex models that lack transparency; this impedes user understanding and has detrimental effects on the implementation of results. An expert system tool that transparently learns features for successful printing has been created. The tool uses accessible data from STL models and printer configurations to create explainable parameters and identify risks. Testing has shown good agreement to print behaviour and easy adaptability. The tool reduces the learning curves designers face in understanding design for additive manufacturing.

Proficiency in design for additive manufacturing (DfAM) requires training and a lot of trial and error. To support the development of DfAM skills, we redesigned 47 design artifacts from case studies and derived tacit knowledge from successful and unsuccessful redesigns. All knowledge about these artifacts was then collected in a design catalog. In a workshop with a total of 48 graduates and students, 45 participants deemed the design catalog supportive. After evaluating their designs, we concluded that the use of a knowledge-based design catalog can develop and improve individual DfAM skills.

The presented study investigates differences in engineering designers' CAD performance when modelling from two types of projections in technical drawings – isometric and orthographic. The results revealed significant differences in the percentage of correctly replicated components' size and shape, indicating better CAD outcomes when generating CAD models from the orthographic projection. In addition, a comparison of duration, as well as the number and type of sketch entities, sketch relations, and CAD features, showed that CAD modelling processes were similar in both conditions.

In HMLV manufacturing, assembly mistakes by operators are common due to the ever increasing product variability and complexity. If mistakes can be detected early-on in the design process, product designers can reduce the possibility for mistakes. We present an algorithm to automatically detect and evaluate potential misplacements of parts that need to be fastened. Evaluation starts from a product CAD and returns the risk of misplacement as well as visual feedback on possible misplacements. An implementation with FreeCAD of our algorithm is illustrated on different use cases.

Yacht design process currently faces challenges as slow data sharing, lack of flexibility in modelling and inefficient optimisation of shapes. This paper assesses the potential of an integrated approach over the traditional one, using a hypothetical industry scenario. The key aspects of data sharing/project management, modelling system, and shape optimization are compared, and new collaborative tools and technologies are introduced. The research reveals significant benefits of the integrated approach over the traditional one highlighting its potential to foster innovation within the industry.

We present a data-driven approach to support decision-making in CAD modelling and to improve design for manufacturing. Based on automated estimated production planning, information is provided on possible design actions and their impact. A study was conducted on perspectives on and visualizations in CAD modelling. Requirements for a user interface of the described support system were identified. The results serve as basis for further research and development on the interaction of engineering designers with data-driven decision-making support in CAD modelling.

With recent advancements in Virtual reality (VR), 3D design in VR has gained significant interest from both academia and industries. However, the development of these VR CAD tools is either skewed towards the creative industry or simply mimicking conventional CAD. This paper presents three different tools, analyzes them, and compares their capabilities over various performance parameters. The paper finally suggests where these tools can be used in the design process and some critical pathways for developing VR-based CAD modeling software for practical use in the engineering design industry.

Despite the rapid advancement of generative Large Language Models (LLMs), there is still limited understanding of their potential impacts on engineering design (ED). This study fills this gap by collecting the tasks LLMs can perform within ED, using a Natural Language Processing analysis of 15,355 ED research papers. The results lead to a framework of LLM tasks in design, classifying them for different functions of LLMs and ED phases. Our findings illuminate the opportunities and risks of using LLMs for design, offering a foundation for future research and application in this domain.

This study explores the application of image generative AI to support design process by creating inspiration boards. Through an evaluative study, we compare the diversity, quantity, fidelity, and ambiguity of boards generated by image generative AI and traditional methods. The results highlight how generative AI produces a quantity of images, it exhibits limited diversity compared to traditional methods. This suggests a tendency for supporting interpolation rather than extrapolation of ideas, in turn providing insights on best practice and into the optimal stage for its application.

The manual execution of failure mode and effects analysis (FMEA) is time-consuming and error-prone. This article presents an approach in which large language models (LLMs) are integrated into FMEA. LLMs improve and accelerate FMEA with human in the loop. The discussion looks at software tools for FMEA and emphasizes that the tools must be tailored to the needs of the company. Our framework combines data collection, pre-processing and reliability assessment to automate FMEA. A case study validates this framework and demonstrates its efficiency and accuracy compared to manual FMEA.

This paper presents a novel method for automatic contradiction detection in requirements engineering using a hybrid approach combining formal logic with Large Language Models (LLMs), specifically GPT-3. Our three-phase process detects contradictions by identifying conditionals and pseudo-grammatical elements, and employing LLMs for nuanced contradiction detection. Tested extensively, including on a real-world electric bus project, our method achieved 99% accuracy and 60% recall. This approach significantly reduces manual effort, enhances quality, and is scalable for future advancements.

Sketch2Prototype is an AI-based framework that transforms a hand-drawn sketch into a diverse set of 2D images and 3D prototypes through sketch-to-text, text-to-image, and image-to-3D stages. This framework, shown across various sketches, rapidly generates text, image, and 3D modalities for enhanced early-stage design exploration. We show that using text as an intermediate modality outperforms direct sketch-to-3D baselines for generating diverse and manufacturable 3D models. We find limitations in current image-to-3D techniques, while noting the value of the text modality for user-feedback.

Natural Language Processing (NLP) has been extensively applied in design, particularly for analyzing technical documents like patents and scientific papers to identify entities such as functions, technical feature, and problems. However, there has been less focus on understanding semantic relations within literature, and a comprehensive definition of what constitutes a relation is still lacking. In this paper, we define relation in the context of design and the fundamental concepts linked to it. Subsequently, we introduce a framework for employing NLP to extract relations relevant to design.

This research examines how sustainable product design education can address the deficit in green talent. It presents a framework for a structured curriculum in product design, with hands-on activities, industry-specific case studies, and best practices in alternative design development. The impact of technologies like additive manufacturing on design is considered. Findings demonstrate that knowledge of technological capabilities, industry specific understanding, and proficiency in analytical tools such as Life Cycle Assessments contribute to sustainable designs mitigating a green talent gap.

We need to integrate socioecological issues into our activities. Engineers and designers need to develop competencies in sustainability, but it exists a lack of support in an academic context and for the training of professionals. The aim of this article is to demonstrate that the Doughnut is a support for developing sustainability competencies. In the literature, these competencies are identified and pedagogical experiences on their integration in engineering curricula are reported. We use the doughnut in a workshop as an element of understanding and developing competencies for sustainability.

This study focuses on the development of a creative model of SDGs education that promotes behavior change in upper secondary schools using an approach that combines design thinking and behavioral science nudge methods. The SDGs education for high school students, which utilized design thinking, was used as a case study. Questionnaire surveys of high school students and teachers who participated in the project were conducted. Based on the survey results, a new education model was proposed that can effectively improve SDGs education at the high school level and support educators in this field.

Education for Sustainable Development requires raising individuals' awareness of problems relevant to the environment. We designed a Generative Toolkit that supports industrial design students carrying out a Speculative Design task and through this process initiates greater problem awareness of low metal recycling rates. In this paper we give insights into the Toolkit’s theoretical derivation and the design process. Findings from testing suggest that there are several opportunities for improvement, such as considering further content-related competencies in the Toolkit's design.

The nine-week Sustainability and Social Entrepreneurship Fellowship at the University of Waterloo addressed urban habitation sustainability in London, Ontario, via a multicultural, trans-disciplinary approach. Undergraduate engineering students addressed housing and transportation environmental and social sustainability, guided by expert lectures and fieldwork. The program highlights the importance of diversity in engineering education and the need for structured cultural and educational management. Students proposed engineering solutions to sustainably improve the housing development process.

The global push for sustainable and eco-friendly transportation solutions has made the adoption of electric vehicles imperative. In India, EV adoption has shown promise, fueled by diverse product offerings and supportive government policies. However, rural India lags behind in EV adoption, despite being a significant market. To unlock the untapped potential, understanding the needs, attitudes, and barriers of rural consumers is crucial. This research conducts a study of rural Indian consumers and offers valuable design insights for automotive companies to formulate effective future strategies.

This study explores challenges in decision-making for product design due to insufficient cost transparency because of product variety across the value chain. Utilizing a literature review and a case study on a company, it delves into issues such as value chain consideration, product family assessment, linking effects to specific product levels, and converting measured effects. Highlighting the critical need to address these challenges for decision-making. Future research should focus on a comprehensive costing framework, explore effect interdependencies, and expand the value chain analysis.

The design of gear boxes is a complex challenge characterized by conflicting requirements and seemingly circular dependencies. Existing tools support engineers but focus on a single predefined design, often leading to costly iterative processes and non-optimal solutions. Solution Space Engineering (SSE) alleviates this by generating multiple designs represented by solution spaces. For this, a particular model structure is needed, and thus restructuring existing models, e.g., from industry standards. The application of solution spaces to a two-stage gear box is presented.

This paper addresses the underexplored domain of hydraulic energy harvesters (HEH). Through a literature review, existing designs are identified, aiding in the categorisation of energy conversion technologies and fluid-mechanical interfaces. Recognizing a lack of standardized approaches to testing HEH, the paper proposes a re-configurable test platform. The platform, accommodating diverse configurations, operates at high pressures, aligns with existing hydraulic setups, and functions in static or dynamic modes. This tool aims to assist researchers further explore the implementation of HEHs.

This study compares empirical and topology optimization methods for reducing gear body mass. Specimens produced via empirical guidelines and topology optimization were compared to referent full-disc gear, focusing on stresses and deformations. Values were determined numerically (Ansys was used) and the calculation method was verified using ISO 6336. The empirical approach exhibited substantial increases in stress and deformation while topology optimization method had promising outcomes. While decreasing mass, it also diminished tooth root stress on the tensile side by 17.1%.

In sandwich structures, mass can be reduced or mechanical properties increased if the challenging local load distribution can be improved. Through numerical optimizations, novel designs can be determined and investigated in physical and virtual tests. This paper presents an approach for load path-optimized design of sandwich structures and novel design concepts. The approach is applied to the design concept of honeycombs filled with potting compound. Due to the shown transferability to higher structural levels, it can be used as a basis for the design optimization of any sandwich structure.

This study investigates the relationship between the number and type of prototypes developed in rapid prototyping contexts, a team's performance self-estimations, and final actual performance. Findings suggest a strong correlation between each of these elements, with the converse also found to be true, motivating the introduction of the concept of Design Delusion - a type of cognitive dissonance due to differences between perceived and actual states. The paper suggests that early prototyping helps identify and mitigate design delusion, improving design decisions and preventing technical debt.

Workspaces can enhance the creativity of the designers that occupy them. Here, we review experimental studies of creative spaces to identify constructs that mediate (explain) the relationship between physical spaces and creative performance. Through a literature review of 8 journal articles comprising 13 experiments, we identify 14 constructs involving cognitive, affective and physiological components. Knowledge of these mediators can help researchers to formulate hypotheses, select control variables, and develop conceptual models and theories of creative spaces in design.

The study aims to grasp the dynamic characteristics of paralinguistic communication during co-creation and has developed an analysis methodology by clustering the conversational patterns and determining the criteria more often observed in pre-resonance. The results suggest that pre-resonance is characterized by less silence, a rapid transition in exchanging ideas under one's initiative, and a conversation with equal amounts of utterances between both in a pair. This study reveals implications for better communication that lead to resonance, an essential phenomenon in collaborative design.

Design problems are wicked in nature. Wicked problems are difficult to understand, formulate and solve. The literature focuses mainly on the characteristics of wicked problems, very little is available to how wicked problems (synonymous to ill-structured) should be formulated to make them well structured. Assessment of wickedness can help designers formulate problems into well-structured. This work proposes a metric for (lack of) structuredness as a measure for the degree to which a design problem is ill-structured. A Delphi-based method as benchmark for validating the metric is also proposed.

Gender is a crucial factor for creativity in design. Although the participation and recognition of successful and prominent women in the field of design seems to be increasing, many more men are still recognised and regarded as creative. This paper analyses the gender differences in design creativity. First, a summary of studies on gender differences in creativity in general is presented. It then discusses three critical aspects of gender differences in design creativity. Finally, some ways in which women's creativity can be encouraged and supported are outlined.

The paper emphasizes the need to consider negative aspects of creativity, especially in design, where it can have significant societal impacts. It calls for a more comprehensive view of creativity that includes both positive and negative effects and proposes a research approach to assess the potential negative consequences of creative work.

In recent years, the importance of design has been pointed out as a source of competitive advantage. However, creating a great design also increases the risk of copy products being created. In this study, we used an approach based on visual information and conducted an international comparative judgment survey of elements considered to be similar within products.

During a design process, designers are supported by several purposive product models. To enable designers to switch between them, researchers need to consider the linking of product models during their development. To assist researchers in doing so, the capabilities of a standardizing description approach, stances towards product models, was investigated. The results show that the description approach was able to identify indicators of linking possibilities by facilitating comparability. This is a step towards assisting researchers in considering the linking of product models systematically.

Managing general domain knowledge and asset-specific information in the form of digital representations is especially important and challenging when focusing on long-living and complex assets. Implicit knowledge and existing structures need to be captured and digitalised, ideally without introducing unnecessary complexity through unfamiliar wording or new structures. To achieve this, a methodical approach that utilises ontologies as well as system modelling techniques and focuses on early-stage model instantiation is presented and applied to the cabin retrofit of aircraft.

To establish a coherent Digital Thread, encompassing diverse information obtained during the design process, it is imperative to ensure the traceability of information particularly between engineering and manufacturing teams. A challenge lies in maintaining links between data, particularly in the context of configuration management. Through the principles of complementarity, we explore links between the Engineering and the Manufacturing definitions through a major structural element. We forsee the principles of complementarity as a support for Digital Thread throughout the product lifecycle.

The complexity of process plants and the growing demand for digitalization require efficient and accurate information retrieval throughout the lifecycle phases of a process plant. This paper discusses the concept of instantiation and introduces a method for identifying and multiplying required information in plant engineering using scalable so-called Instantiation Blocks linked to the Bill of Material. Core functionality, an ontology graph and a user interface based on Python and React are developed to demonstrate the implementation of the framework and validate its effectiveness in practice.

Engineering standards are an important source of knowledge in product development. Despite the increasing digitalisation, the provision and usage of standards is characterised by lots of manual steps.This research paper aims at applying automatic knowledge graph creation in the domain of engineering standards to enable machine-actionable standards. For this, a formula knowledge graph ontology as well as suitable information extraction techniques are developed. The concept is validated using the example of DIN ISO 281, showing the overall capability of automatic knowledge graph creation.

The use of design methods across multiple design phases of the product development process often leads to inconsistency, the loss of transparency, and the rejection of design methods by practitioners. The authors of this work intend to develop a central modelling approach that supports consistency, based on the integrated function modelling (IFM) framework. Therefore, various design methods from the literature were examined for their techniques and content to identify indicators for supporting consistency. The results led to an enhancement of the IFM framework.

In this study, the relationship between user experience, product appearance and emotional impressions generated by the user are examined through electric concept cars introduced by automotive companies in motor shows. The focus of the research is on the measurement of the emotional experiences that the interior design of the electric concept cars awakens in the user. The main purpose of the study is to open a discussion on the relation between the emotional impressions and product appearance.

Large organisations are designing complex technology-based tools for their staff to use. In busy workplace environments, it can be difficult to get user input about a design. This paper describes the designer and user interactions in one such organisation, gaining insights that could be useful in other similar settings. The findings are based on a set of interviews with designers and researchers within the organisation. The paper identifies the current practices and constraints involved in understanding and capturing users' needs and discusses potential solutions.

The paper presents a hybrid user-centred/simulation approach to populate the design specification. It presents an application in the field of exoskeleton design, with the final goal to support workers to carry out their professional tasks. More than 100 professionals (mostly health workers) participated in the survey. The qualitative requirements were extracted are then tested in simulation environments. The approach proved to generate meaningful results for product concept generation. Beyond the expectations, the simulation also showed more adequate product architectures.

Based on 4 codesign cases and 15 designer interviews, this article presents how territorial design serves as a catalyst for shared values in community living. Examining user experience and design goals, it reveals how ethological and political values shape territories and the design process. Participants explore new work methodologies, redefine collective activities and navigate in tensions, power issues and political dimensions. The codesign space transforms political interactions, shifting from controversy to conception, offering a new experience and perspective on territorial discussions.

This study explores the alignment between automotive design innovation and consumer acceptance, particularly in the context of two significant trends: electrification and digitalization. We probed the acceptance of replacing rear window with wide-angle camera We surveyed 1,546 potential customers from China and Sweden to assess their openness to such a radical design. Findings suggest a consensus on its futuristic appeal but diverge in adoption willingness. The study offers insights to bridge the design preference gap, positioning customer acceptance as key for car design strategy.

A modern user’s interactions with digital artefacts are a subject of interest to numerous fields of study, including human-computer interaction (HCI). Innovations in HCI necessitate an understanding of users’ attachment to these artefacts. This paper characterises user attachment as a dual phenomenon of possession and dispossession. The findings give deeper insight into the influences of this phenomenon and how they might distinguish its manifestation in physical and virtual environments. Avenues for design interventions were then interpreted from these findings.