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Decision making support for designers at the early design stage regarding narrowing down the range values of design variables

Published online by Cambridge University Press:  16 May 2024

Yoshiyuki Shimada ,
Daichi Akutsu ,
Shinnosuke Kodama ,
Shuichi Kondo ,
Shigeki Hiramatsu ,
Seiji Fukui ,
Hiroshi Unesaki ,
Takashi Hatano ,
Kazuhiro Aoyama  and
Masato Inoue
Yoshiyuki Shimada*
Affiliation:
Meiji University, Japan
Daichi Akutsu
Affiliation:
Meiji University, Japan
Shinnosuke Kodama
Affiliation:
Meiji University, Japan
Shuichi Kondo
Affiliation:
Mazda Motor Corporation, Japan
Shigeki Hiramatsu
Affiliation:
Mazda Motor Corporation, Japan
Seiji Fukui
Affiliation:
Mazda Motor Corporation, Japan
Hiroshi Unesaki
Affiliation:
Mazda Motor Corporation, Japan
Takashi Hatano
Affiliation:
Mazda Motor Corporation, Japan
Kazuhiro Aoyama
Affiliation:
The University of Tokyo, Japan
Masato Inoue
Affiliation:
Meiji University, Japan
*
y5945s08@gmail.com

Abstract

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This study presents a search method for a solution space that aligns with a designer's design intent. The proposed method uses multiobjective optimization to determine the size of the narrowed solution space and the weakness of the constraint relationships between the design variables. The suitability of the proposed method is tested by applying it to the design problem of an electric motor for an EV, aiming to provide designers with solution spaces that offer a high degree of freedom in the later design stages and that have weaker constraint relationships among the design variables.

Keywords

decision makingvisualisationsimulation-based designset-based designearly design phase
Type
Design Methods and Tools
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 765 - 774
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

References

Kuroyanagi, T., Yamada, S., Hiramatsu, S., Unesaki, H. and Kondo, S. et al. . (2021), “System design priority order considering uncertainty in early stages”, Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2021, August 17-20, 2021, Virtual, Online, DETC2021-68216. https://doi.org/10.1115/DETC2021-68216CrossRefGoogle Scholar
Browning, T.R. (2001), “Applying the design structure matrix to system decomposition and integration problems: a review and new directions”, IEEE Transactions on Engineering Management, Vol. 48 No. 3, pp. 292-306. https://doi.org/10.1109/17.946528CrossRefGoogle Scholar
Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T. (2002), “A fast and elitist multiobjective genetic algorithm: NSGA-Ⅱ”, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182-197. https://doi.org/10.1109/4235.996017CrossRefGoogle Scholar
SobekⅡ, D.K., Ward, A.C. and Liker, J.K. (1999), “Toyota's principles of set-based concurrent engineering”, MIT Sloan Management Review, Vol. 40, No. 2, pp.67-83.Google Scholar
Liker, J.K., SobekⅡ, D.K., Ward, A.C. and Cristiano, J.H. (1996), “Involving suppliers in product development in the United States and Japan: evidence for set-based concurrent engineering”, IEEE Transactions on Engineering Management, Vol. 43, No. 2, pp. 165-178. https://doi.org/10.1109/17.509982CrossRefGoogle Scholar
Ward, A., Liker, J.K. and Cristiano, J.J. (1995) “The second Toyota paradox: how delaying decisions can make better cars faster”, MIT Sloan Management Review, Vol. 36, No. 3, pp. 43-61.Google Scholar
Inoue, M., Nahm, Y.E., Tanaka, K. and Ishikawa, H. (2013), “Collaborative engineering among designers with different preference: application of the preference set-based design to the design problem of an automotive front-side frame”, Concurrent Engineering, Vol. 21, No. 4, pp. 252-267. https://doi.org/10.1177/1063293X13493447CrossRefGoogle Scholar
Inoue, M., Nahm, Y.E., Okawa, S. and Ishikawa, H. (2010), “Design support system by combination of 3D-CAD and CAE with preference set-based design method”, Concurrent Engineering, Vol. 18, No. 1, pp. 41-53. https://doi.org/10.1177/1063293X09360833CrossRefGoogle Scholar