Abstract The International Design Engineering Annual (IDEA) Challenge is a virtually hosted hackathon for Engineering Design researchers with aims of: i) generating open access datasets; ii) fostering community between researchers; and, iii) applying great design minds to develop solutions to real design problems. This paper presents the 2022 IDEA challenge and elements of the captured […]
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ABSTRACT The paper discusses the role and the challenges of integrating Data-Driven Design (DDD) models in the product innovation process. Firstly, based on academic literature on the Product Innovation Value Streamsand on Model-Based Decision Supports, the paper highlights how and when the use of DDD models can support a more effective product innovation process. Secondly, it […]
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ABSTRACT Value models, in form of economical optimization functions, are often proposed to frontload engineering design activities. However, literature argues that, when qualitative data and assumptions prevail, a qualitative assessment of the ‘goodness’ of a design is preferable against a numerical (and monetary-based) encoding of preferences. This paper explores how a model-based approach can support […]
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The BTH Product Development Research Lab is today one of the major academic players in the domain of model-driven decision support. A total of eight papers collecting current findings have been recently accepted for publication at the 21st International Conference on Engineering Design (ICED17).
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ABSTRACT Product development companies are under pressure to produce high quality products that satisfy requirements from different stakeholders including end-users. This requires them to improve the efficiency and effectiveness of their product development processes. Design methods are necessary to support these companies to improve their product development processes, and thereby in producing high quality products […]
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