Response Surface Methodology: A Retrospective and Literature Survey

AbstractResponse 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.KeywordsBayesian DesignsComputer ExperimentsGeneralized Linear ModelsMultiple ResponsesRobust Parameter DesignSplit-Plot DesignsVariance Dispersion Graphs Additional informationNotes on contributorsRaymond H. MyersDr. Myers is Professor Emeritus in the Department of statistics.Douglas C. MontgomeryDr. Montgomery is a Professor in the Department of Industrial Engineering. He is a Fellow of ASQ. His email address is doug.montgomery@asu.edu.G. Geoffrey ViningDr. Vining is Head of the Department of Statistics. He is a Fellow of ASQ. His email address is vining@vt.edu.Connie M. BorrorDr. Borror is an Assistant Professor in the Department of Decision Sciences. She is a Senior Member of ASQ. Her email address is conni@drexel.eduScott M. KowalskiDr. Kowalski is a Technical Trainer. He is a Member of ASQ. His email address is skowalski@minitab.com.