Response Surface Methodology: A Retrospective and Literature Survey

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

doi:10.1080/00224065.2004.11980252

Response Surface Methodology: A Retrospective and Literature Survey

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

Industrial, Systems and Operations Engineering

Research output: Contribution to journal › Review article › peer-review

578 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	53-78
Number of pages	26
Journal	Journal of Quality Technology
Volume	36
Issue number	1
DOIs	https://doi.org/10.1080/00224065.2004.11980252
State	Published - Jan 2004

Keywords

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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10.1080/00224065.2004.11980252

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abstract = "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.",

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AB - 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.

KW - Bayesian Designs

KW - Computer Experiments

KW - Generalized Linear Models

KW - Multiple Responses

KW - Robust Parameter Design

KW - Split-Plot Designs

KW - Variance Dispersion Graphs

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Response Surface Methodology: A Retrospective and Literature Survey

Abstract

Keywords

ASJC Scopus subject areas

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