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Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application
2020
Design Science
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 and sustainable product development areas have stressed the need to expand the design space exploration by encompassing
doi:10.1017/dsj.2019.29
fatcat:czyhwam6zbhcplswi3thy6kegy