Investigations on robust design from the perspective of optimization

Sangmun Shin*, Madhumohan S. Govindaluri, Byung Rae Cho

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


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
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004


OtherIIE Annual Conference and Exhibition 2004
Country/TerritoryUnited States
CityHouston, TX


  • Optimization
  • Response surface methodology
  • Robust design

ASJC Scopus subject areas

  • Engineering(all)

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