Robust parameter design: A review

Timothy J. Robinson, Connie M. Borror, Raymond H. Myers

Research output: Contribution to journalReview articlepeer-review

202 Scopus citations


Parameter design is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The assumption is that there are both controllable factors (control variables) and uncontrollable/difficult to control factors (noise variables) that operate on the quality characteristic of a process. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic while minimizing the variation imposed on the process via the noise variables. Parameter design was popularized in the mid 1980s by Japanese quality consultant Genichi Taguchi. A panel discussion edited by Nair summarized important responses to Taguchi's ideas and methodology. In the last decade, there have been many applications and new developments in this important area. This review paper focuses largely on the work done since 1992, but a historical perspective of parameter design is also given.

Original languageEnglish (US)
Pages (from-to)81-101
Number of pages21
JournalQuality and Reliability Engineering International
Issue number1
StatePublished - Feb 2004
Externally publishedYes


  • Optimization
  • Process robustness
  • Quality improvement
  • Response surface methodology
  • Robust parameter design

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research


Dive into the research topics of 'Robust parameter design: A review'. Together they form a unique fingerprint.

Cite this