Technometrics · 1997 · 60 citations · 13 references
EngineeringDesignDesign OptimizationDesign TheoryProcess DesignProcess RobustnessTaguchi MethodsCentral Composite DesignsDesign RobustnessNoise FactorsRobust Process DesignRobustnessTaguchi Designs
A robust process is a process that is insensitive to changes in uncontrollable variables. In this article a class of designs that can be used to achieve a robust process is proposed. These new designs are similar in structure to classical central composite designs, but they are of mixed resolution. That is, the new designs are at least Resolution V among the signal factors and are at least Resolution III among the noise factors. A catalog of the new designs, known as composite mixed-resolution (CMR) designs, is included for the practitioner. A comparison of the sizes of robustness designs shows that many CMR designs are superior to or competitive with the corresponding Taguchi designs. The response surface models associated with these two classes of robustness designs are also compared. D efficiencies and G efficiencies of the CMR designs are included.
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Design and Analysis of Computer Experiments
Jerome Sacks, William J. Welch, Toby J. Mitchell et al. · Statistical Science · 1989 · 7K citations · Full text
Designs for Computer Experiments
Jerome Sacks, Susannah B. Schiller, William J. Welch · Technometrics · 1989 · 912 citations
The Equivalence of Two Extremum Problems
J. Kiefer, J. Wolfowitz · Canadian Journal of Mathematics · 1960 · 889 citations · Full text
Economical Experimentation Methods for Robust Design
Anne C. Shoemaker, Kwok‐Leung Tsui, Changbao Wu · Technometrics · 1991 · 258 citations
Arts, Design, Experimental Design +13