Abstract The paper presents an approach, based on the development of digital twins, to support the transition toward electromobility and autonomy in the mining industry, by supporting the design space […]
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Abstract The paper presents an approach, based on the development of digital twins, to support the transition toward electromobility and autonomy in the mining industry, by supporting the design space […]
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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, […]
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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: 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 […]
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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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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, […]
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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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