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Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 11:46:38am CEST
D231: SUSTAINABILITY IN ACTION THROUGH DESIGN CASE STUDIES
Time:
Tuesday, 21/May/2024:
3:15pm - 5:15pm
Session Chair: Sophie I. Hallstedt, Chalmers University of Technology, Sweden
Location:Congress Hall Ragusa
Presentations
What Italian furniture companies do towards sustainable transition? Design actions and strategies showcased during Milan Design Week 2023
Silvia Maria Gramegna, Francesca Mattioli, Xue Pei
Politecnico di Milano, Italy
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.
Integration of sustainability into product development: insights from an industry survey
Sachira Vilochani1,2, Tim C. McAloone1,2, Daniela C. A. Pigosso1,2
1Technical University of Denmark, DTU Construct, Denmark; 2Technical University of Denmark, Centre for Absolute Sustainability, Denmark
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.
Using the low-tech concept to create scenarios: an analysis of its potential to design for sustainable urban future
Flore Vallet1,2,3, Tjark Gall2
1Pôle Léonard de Vinci, France; 2Laboratoire Genie Industriel, CentraleSupélec, Université Paris-Saclay, France; 3IRT SystemX, France
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.
Comparison of e-scooter tyre performance using rolling resistance trailer
George Stilwell1, Shayne Gooch1, Martial Lafitte2
1University of Canterbury, New Zealand; 2CESI Graduate School of Engineering, France
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.
Data-driven life cycle assessment for mechatronic systems: a comparative analysis of environmental impact assessments
Artur Krause1, Steffen Wagenmann2, Katharina Ritzer1, Albert Albers2, Nikola Bursac1
1Hamburg University of Technology, Germany; 2Karlsruhe Institute of Technology, Germany
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.
