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An Expected Cost Methodology for Screening Design Selection

Summary: [This abstract is based on the authors' abstract.] When investigating many continuous factors under experimental cost constraints, an experimenter often selects a screening design from among a variety of published options. This article introduces a novel design selection methodology based on decision trees that identifies which screening design option minimizes the total expected cost of a multi-stage experiment under model uncertainty. The methodology is illustrated by an example in which a set of traditional and recently published experimental designs are considered for the screening of six potential factors.

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  • Topics: Design of Experiments
  • Keywords: Design of experiments (DOE), Response surface methodology (RSM), Decision making, Screening, Monte Carlo methods, Orthogonal array (OA), Tree diagrams
  • Author: Stone, Brian B.; Montgomery, Douglas C.; Hassler, Edgar; Silvestrini, Rachel T.;
  • Journal: Quality Engineering