Dual-response surface optimization: A weighted MSE approach

Rui Ding, Dennis K.J. Lin, Duan Wei

Research output: Contribution to journalArticlepeer-review

65 Scopus citations

Abstract

Dual-response surface methodology is a powerful tool for simultaneously optimizing the mean and the variance of responses in quality engineering. In this article, we suggest a weighted mean squared error (MSE) approach to improve the optimization procedure. In addition, we propose a data-driven approach to determine the weights when the prior information is vague. This is based on the idea of an "efficient curve." Examples are given to illustrate the superiority of the proposed method, as compared with other existing procedures.

Original languageEnglish (US)
Pages (from-to)377-385
Number of pages9
JournalQuality Engineering
Volume16
Issue number3
DOIs
StatePublished - Mar 2004

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

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