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The Model-Driven Decision Arena: Augmented Decision-Making for Product-Service Systems Design

Abstract The shift towards Product-Service Systems (PSS) stresses the need to embed new and unique capabilities in Decision Support Systems, with the aim of helping the engineering team in handling the pool of information and knowledge available during decision events. Emerging from a multiple case study in the Swedish manufacturing industry, this paper describes the […]

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A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making

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 Value Streams of a product innovation process and indicates how data-driven activities shall be structured and organised in relation to the different phases of a […]

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PDRL at MOSIM’18: Master thesis work candidate to Young Research Award

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 at BTH, and now a PhD student at University of Toulouse (INSA) at the 12thInternational Conference on Modeling, Optimization and Simulation that took place in […]

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A model-driven decision arena: Augmenting decision making in early design

ABSTRACT A wide variety of expert competencies, transcending traditional disciplines, are needed to foresee and evaluate the impact of decisions in the conceptual phase of engineering design. Where this previously was a trade-off regarding design and development of the pure physical artefact it is now a complex ambiguity game involving all disciplines touching a solution […]

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Maturity of Models in a Multi-Model Decision Support System

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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