Studies on a biobjective robust design optimization problem

作者: Sangmun Shin , Byung Rae Cho

DOI: 10.1080/07408170902789084

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摘要: The vast majority of the multiobjective robust design research reported in literature has been performed under assumption multiple quality characteristics. This paper differs that process mean and variance are considered to be a biobjective problem since primary goal is determine optimal factor settings by minimizing performance variability deviation from target value product. A more comprehensive set solutions developed using lexicographic weighted Tchebycheff approach model rather than approaches traditionally used dual-response obtain efficient solutions. Numerical examples show proposed far effective traditional sum approach. [Supplementary materials available for this article. Go publisher's online edition IIE Transactions following free supplemental resource: Appendix with mathematical proof, figures, and...

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