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Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

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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Welcome Roberto! A research exchange with data-driven PSS design in focus

Roberto Sala joins the Product Development Research Lab until the end of February 2020 to strengthen our research on data-driven decision-methods for PSS delivery. Roberto graduated in Management Engineering at Politecnico di Milano and is now a final year PhD student at the department of Department of Management, Information and Production Engineering at University of […]

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