Abstract Sustainability considerations are traditionally difficult to trade-off with technical and business requirements in an early design phase. Hence, design teams need support to reflect early on in the process, on how sustainability may affect profitability and customer value fulfilment in the long term. The commoditisation of modelling and simulation techniques points to gamification and […]
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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 enabler for developing simulation models that comprehensively explore the PSS design space for complex systems, linking of performances to customer and provider value. Emerging from […]
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Abstract: The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry. Engineers rely on well-established statistical and mathematical models to explore the feasible design space and make early decisions on future design configurations. At the same time, researchers in both value-driven design […]
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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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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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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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