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Model-based decision support for value and sustainability assessment: Applying machine learning in aerospace product development
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0001-5114-4811
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0002-3311-2530
Blekinge Institute of Technology, Faculty of Engineering, Department of Strategic Sustainable Development.ORCID iD: 0000-0002-7382-1825
GKN Aerospace Systems , SWE.
2018 (English)In: DS92: Proceedings of the DESIGN 2018 15th International Design Conference / [ed] Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N, The Design Society, 2018, Vol. 6, p. 2585-2596Conference paper, Published paper (Refereed)
Abstract [en]

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 and to create surrogate models for quicker design space exploration. The approach has been developed and preliminary implemented in collaboration with a major aerospace sub-system manufacturer.

Place, publisher, year, edition, pages
The Design Society, 2018. Vol. 6, p. 2585-2596
Keywords [en]
decision making, value driven design, big data analysis, sustainable design, design space exploration
National Category
Engineering and Technology Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-16232DOI: 10.21278/idc.2018.0437ISBN: 9789537738594 (print)OAI: oai:DiVA.org:bth-16232DiVA, id: diva2:1210597
Conference
15th International Design Conference, Dubrovnik
Part of project
Model Driven Development and Decision Support – MD3S, Knowledge Foundation
Funder
Knowledge FoundationAvailable from: 2018-05-29 Created: 2018-05-29 Last updated: 2021-01-12Bibliographically approved

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Bertoni, AlessandroDasari, Siva KrishnaHallstedt, Sophie

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