Investigations on robust design from the perspective of optimization

Sangmun Shin, Madhumohan S. Govindaluri, Byung Rae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The issue of robust design optimization compromising statistical analyses and optimization techniques for the development of a production process has received much attention from researchers and practitioners for many years. Response surface methodology is accepted as a standard alternative to modeling imperfectly understood process relationships by estimating the response functions for process parameters. In particular, the dual-response approach and the mean squared error model are well-recognized robust design models. In this paper, we provide comprehensive studies associated with statistical analyses and optimization techniques for robust design optimization using four different robust design models, including those two models. A numerical example is conducted, and comparative studies are performed.

Original languageEnglish
Title of host publicationIIE Annual Conference and Exhibition 2004
Pages7-12
Number of pages6
Publication statusPublished - 2004
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004

Other

OtherIIE Annual Conference and Exhibition 2004
CountryUnited States
CityHouston, TX
Period5/15/045/19/04

Keywords

  • Optimization
  • Response surface methodology
  • Robust design

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Shin, S., Govindaluri, M. S., & Cho, B. R. (2004). Investigations on robust design from the perspective of optimization. In IIE Annual Conference and Exhibition 2004 (pp. 7-12)