The Product Development Research Lab at BTH are for the sixth year starting up a ME310 project in collaboration with the Design Division at Stanford University. As with the last four iterations, Volvo Construction Equipment are the industrial partner. The Challenge: The pains of today and the concerns of tomorrow In light of impending changes […]
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Ryan Ruvald is a PhD candidate at BTH employed from November 1 working with supporting engineering decision making. Ryan is part of the KKS research profile “Model Driven Development and Decision Support“. WHO ARE YOU AND WHAT IS YOUR BACKGROUND? I am Ryan Ruvald. born and raised in Sonoma, California. I have long been a fan […]
Read MoreABSTRACT This qualitative case study aims at understanding when and how industrial designers, working in design consultancies, engage in activities that will influence material selection in the design process. While the extant literature presents material selection processes as a sequence of activities aimed at finding candidate materials, there is paucity of research on material criteria […]
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On Saturday September 30 a diverse team of 27 students from many of BTH’s master programs took on the challenge of innovating the Future of the Construction industry together with Volvo CE’s emerging technologies.
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PDRL and the University of Bergamo organise a Special Session on the topic of Data-Driven Product Service Systems Design (DDPSSD) at INCOM 2018. The session invites both theoretical contributions and industrial case applications, with the aim of promoting conjoint research efforts between data scientists and PSS researchers for the development of innovative practices, methods and […]
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ABSTRACT The topic of ‘design for value’ has lately attracted a great deal of attention within the engineering design community. ‘Predicting’ the value of a future solution is however difficult, especially in early design phases. Modelling and simulation is believed to be able to support this challenging task. A simulation process for value-driven engineering design […]
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Abstract To reduce uncertainty in decisions, engineers experiment with models, such as, exploring what-if scenarios, and thus increase knowledge. Still, because modelling is an idealisation of reality, there is often substantial uncertainty involved, and this decision makers less confident to lean onto models alone when making decisions. The aim of this paper is to conceptualize […]
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As the summer approaches the yearly ME310 project with Stanford University draws to a close. This years’ projects were presented at the d.school on the Stanford campus in the heart of Silicon Valley in California.
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ABSTRACT Due to ever increasing challenges faced by our global society, circular design and the idea of product-service systems (PSS) is gaining traction within businesses. However, ‘predicting’ the value of a future PSS solution in the early design phases is difficult, since it requires the ability to balance long term potential with short term decisions. […]
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ABSTRACT The paper presents a literature review about data mining applications in Product/Service-Systems (PSS) design. A systematic literature review, combined with snowballing techniques, has been run to identify relevant contributions in the area. The analysis has focused on the categorization of the contributions according to their impact on the PSS design process and according to […]
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