ABSTRACT: The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product […]
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ABSTRACT: The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product […]
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Abstract One common strategy to include more downstream lifecycle dimensions in early design is to enrich modelling and simulation techniques embedded in decision support systems. However, downstream dimensions are difficult […]
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Abstract Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical […]
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Abstract Set-Based Concurrent Engineering is commonly adopted to drive the development of complex products and systems. However, its application requires design information about a future product that is often not […]
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ABSTRACT The development of early-stage simulation capabilities is a critical step in the quest for ‘frontloading’ early stage PSS design activities, reducing the cost and risk for rework associated with sub-optimal […]
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ABSTRACT In recent years, data visualization has received a lot of attention and widely applicate in many areas. Data is a treasure, a lot of valuable information hidden inside. While […]
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How do we deal with the visualization of complex data to improve the conceptual design stage? This was the topic of the paper presented by Xin Yi, former MSPI student […]
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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 […]
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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 […]
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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 […]
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