Response Surface Methodology: A Retrospective and Literature Survey

Raymond H. Myers, Douglas Montgomery, G. Geoffrey Vining, Connie M. Borror, Scott M. Kowalski

Research output: Contribution to journalReview articlepeer-review

507 Scopus citations


Response surface methodology (RSM) is a collection of statistical design and numerical optimization techniques used to optimize processes and product designs. The original work in this area dates from the 1950s and has been widely used, especially in the chemical and process industries. The last 15 years have seen the widespread application of RSM and many new developments. In this review paper we focus on RSM activities since 1989. We discuss current areas of research and mention some areas for future research.

Original languageEnglish (US)
Pages (from-to)53-78
Number of pages26
JournalJournal of Quality Technology
Issue number1
StatePublished - Jan 2004


  • Bayesian Designs
  • Computer Experiments
  • Generalized Linear Models
  • Multiple Responses
  • Robust Parameter Design
  • Split-Plot Designs
  • Variance Dispersion Graphs

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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