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Screening Strategies in the Presence of Interactions

Summary: [This abstract is based on the authors' abstract.] Product and process improvement can involve a large number of factors that must be varied simultaneously. Understanding how factors interact is a key step in identifying those factors that have a substantial impact on the response. This article gives the first comprehensive assessment and comparison of screening strategies for interactions using two-level supersaturated designs, group screening, and a variety of data analysis methods including shrinkage regression and Bayesian methods. The authors develop novel methodology to allow application of Bayesian methods in two-stage group screening. Insights on using the strategies are provided through a variety of simulation scenarios and open issues are discussed. Supplementary materials are available online.

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  • Topics: Continuous Improvement
  • Keywords: Screening, Bayesian methods, Process improvement, Simulations, Shrinkage, D-optimality, Data analysis, Fractional factorial design
  • Author: Draguljić, Daniel; Woods, David C.; Dean, Angela M.; Lewis, Susan M.; Vine, Anna-Jane E.;
  • Journal: Technometrics