Conference Agenda
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Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 05:31:49pm CEST
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Agenda Overview |
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D243: DECISION SUPPORT IN COMPLEX DESIGN CONTEXTS
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Why cost estimation matters for design decisions in the early phases of product development and what practitioners expect from artificial intelligence 1Institute of Industrial Manufacturing and Management IFF, University of Stuttgart, Germany; 2Fraunhofer IPA, Germany In the early phases of product development, cost estimation is crucial for supporting design decisions. When cost estimates are inaccurate or delayed, design engineers cannot assess economic viability and may pursue concepts that later prove too costly. In this context, artificial intelligence (AI) offers new possibilities for more accurate and timely cost estimates, yet adoption in practice remains limited. Based on an interview study with 22 cost engineers and an online survey of 102 respondents, this study examines practices, challenges, and expectations for AI-assisted cost estimation. Co-designing responses to stakeholder misalignments in a complex infrastructure project: a design science approach Twente University, The Netherlands Large infrastructure projects often face misalignments that Delays outcomes. This paper presents a co-design workshop addressing such challenges in a European railway project. Guided by complexity theory, the workshop enabled participants to reflect and co-create strategies for alignment. Pre/post surveys and facilitator observations show increased confidence and engagement, with notable awareness in addressing misalignments. These findings highlight co-design’s value as an adaptive, participatory approach for creating recognition and managing complexity in interorganizational projects. Designing a decision tool to decide between two support methods for culture-sensitive creative problem-solving IPEK - Institute of Product Engineering, Karlsruhe Institute of Technology, Germany To support culture-sensitive creative problem-solving in distributed product development, two methods, the CSS Method and the Guideline, were developed. This study presents a Decision Tool to help users select the appropriate method based on team context and goals. Using Design Research Methodology, the tool was developed, evaluated, and refined through initial expert validation. Results show the tool improves method selection and usability while highlighting room for improvements and real-world testing. Decide-Adapt-Reuse: a decision framework to reuse or adapt metamodels for new clinch joint designs Friedrich-Alexander Universität Erlangen-Nürnberg, Germany Metamodels are replacing costly validation simulations and experiments in clinch joint design. If materials or conditions change, existing metamodels may no longer be reliable. This paper presents an approach that uses model uncertainty, the Coefficient of Prognosis and the R² score to decide if a model should be reused or recalibrated, or if fine-tuning is needed. Two case studies show that the framework can provide sufficient recommendations and reused, recalibrated and fine-tuned models can match new models while reducing simulation and training effort. | ||
