Development of multi-objective six-sigma approach for robust design optimization

Koji Shimoyama, Akira Oyama, Kozo Fujii

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

In this study, a new optimization approach for robust design, design for multi-objective six sigma, has been developed and applied to three robust optimization problems. The design for multi-objective six sigma builds on the ideas of design for six sigma, coupled with multiobjective evolutionary algorithm, for an enhanced capability to reveal tradeoff information considering both optimality and robustness of design. While design for six sigma requires careful input parameter setting, design for multi-objective six sigma needs no such prior tuning, plus it can reveal the tradeoff information in a single optimization run. Three robust optimization problems were taken as to demonstrate the capabilities of design for multi-objective six sigma. Results indicate that design for multi-objective six sigma has a more practical and more efficient capability than the design for six sigma to reveal tradeoff design information considering both optimality and robustness of design.

Original languageEnglish
Pages (from-to)215-233
Number of pages19
JournalJournal of Aerospace Computing, Information and Communication
Volume5
Issue number8
DOIs
Publication statusPublished - 2008 Aug

ASJC Scopus subject areas

  • Aerospace Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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