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Quality quandaries: Understanding aspects influencing different types of multiple response optimization

Summary: Optimizing with several responses can benefit from an objective approach of eliminating non-contenders, understanding trade-offs between competing responses, and then identifying a final choice that matches optimization priorities. To offer insights that can help guide thoughtful decisions, we explore and summarize different patterns of solution sets and their trade-offs for different types of optimization with responses that are to be maximized and/or to achieve a target.

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  • Topics: Engineering, Design of Experiments, Statistics
  • Keywords: Design space, X-space, Multiple response optimizations (MROs)
  • Author: Anderson-Cook, Christine M.; Cao, Yongtao; Lu, Lu
  • Journal: Quality Engineering