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Mass Customization Optimization Via Social Network Product Architecture Representation

[+] Author Affiliations
Mohit Jolly, Paul Winward, Vijit Pandey, Deborah Thurston

University of Illinois at Urbana-Champaign, Urbana, IL

Paper No. DETC2006-99629, pp. 145-154; 10 pages
doi:10.1115/DETC2006-99629
From:
  • ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 4a: 18th International Conference on Design Theory and Methodology
  • Philadelphia, Pennsylvania, USA, September 10–13, 2006
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4258-4 | eISBN: 0-7918-3784-X
  • Copyright © 2006 by ASME

abstract

Mass customization has opened a new realm of product design optimization. These problems require optimization of multiple objectives and have a very vast possible solution space. This paper presents an approach to solve this class of problems using social network based product representations to obtain component level information and then applying Genetic Algorithms to optimize the problem. We consider the case of assembling a PC from 16 subcomponents to demonstrate our approach, and use an established multi-objective GA - Non-dominated Sorting Genetic Algorithm II to optimize the problem. The objectives considered are cost, expected product life required by the user and product performance. Our results reduce the possible solution set from a 109 order to a 102 order figure. The approach is intrinsically robust and produces correct results even when the constraints specified by the user have a small error.

Copyright © 2006 by ASME

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