More than 100 billion objects are expected to be connected by 2020 in the Internet of Things. This unprecedented opportunity to record and collect data about how we use a product (or experience a service) is main item in today’s design research agenda. “Data-driven Product Service System design” was the topic of the “Special Session“ […]
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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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A shiny Dubrovnik welcomed researchers and practitioners to the 15th International DESIGN conference. DESIGN is a biannual event organised by the Design Society, being a main forum to exchange experiences and lessons learned about engineering design from a variety of perspectives, disciplines, and fields. BTH PDRL received one of the 3 ‘outstanding contributions’ awards for […]
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ABSTRACT This paper explores and problematizes decision-making in a high-consequence industry which is characterized by the stage-gate process. We showcase that decision-makers do not differentiate between the types of knowledge used for modelling decisions and calculation of risks. This makes them susceptible to incorporating cognitive distortions—biases—into the stage-gate process. We conclude by amending the risk […]
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ABSTRACT The concept of Decision Theatre (DT) is of great interest to leverage knowledge sharing in early stage design decision events. Yet, few contributions show how to configure a DT to support design space exploration and concept selection in cross-functional teams. This paper describes the development of a model-driven decision arena (MDDA) for aero-engine sub-system […]
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ABSTRACT This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of design cases complementing mechanical simulation results with value and sustainability assessment. ML allows to deal with both qualitative and quantitative data […]
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During two days some 25 people gathered at BTH campus and Product Development Research Lab to take part in session #2 of the National PhD course “Modeling Simulation and Optimization in the Engineering Product Development Process”.
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Two months to apply in “real life” what has been learned during the years of university education, starting from a plan to the delivery of a final solution. This was the task the international students participating in the MT1490 yearly project course. Three teams of students, have on January 10th presented the results of multidisciplinary […]
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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 […]
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ABSTRACT The paper presents a study run to verify the applicability of data mining algorithms as decision support in early design stages of a product development project. The paper describes a two-stage scenario providing the rationale for the application of data science in engineering design. Furthermore, it describes a demonstrator showing how data can be […]
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