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.
Key Words: Bayesian Designs; Computer Experiments; Generalized Linear Models; Multiple Responses; Robust Parameter Design; Split-Plot Designs; Variance Dispersion Graphs.
By RAYMOND H. MYERS, Virginia Tech, Blacksburg, VA 24061
DOUGLAS C. MONTGOMERY, Arizona State University, Tempe, AZ 85287
G. GEOFFREY VINING, Virginia Tech, Blacksburg, VA 24061
CONNIE M. BORROR, Drexel University, Philadelphia, PA 19104
SCOTT M. KOWALSKI, Minitab Inc., State College, PA 16801
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