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How to Select the Best Subset of Factors Maximizing the Quality of Multi-Response Optimization

Summary: [This abstract is based on the authors' abstract.] In today's competitive environment, manufacturing companies strive to optimize different aspects of their products in order to meet customer demands. This raises the issue of multi-response optimization, which entails management of appropriate input factors. While screening tests are available to deal with this issue, they fail to deal adequately with increasing numbers of responses. A complementary method is proposed to overcome two major drawbacks: A method is developed to increase the understanding of phenomena linking input factors and responses, and the subset of important factors is selected by using a hierarchy tree of the factors built from the indices of frequency and similarity. A food industry example illustrates the efficiency of the method.

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  • Topics: Engineering
  • Keywords: Analysis of variance (ANOVA), Prioritization Matrix, Ranking and selection, Optimization, Screening, Factor analysis, Process optimization, Food products
  • Author: Mao, M.; Danzart, M.
  • Journal: Quality Engineering