Structural Multi-objective Probabilistic Design for Six Sigma |
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Authors: | LI Yu-qiang CUI Zhen-shan CHEN Jun ZHANG Dong-juan RUAN Xue-yu |
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Affiliation: | 1. National Die and Mold CAD Eng. Research Center, Shanghai Jiaotong Univ. , Shanghai 200030, China;Dept. of Die Design, Shanghai Sekely Die Technology Co. Ltd. , Shanghai 201209, China 2. National Die and Mold CAD Eng. Research Center, Shanghai Jiaotong Univ. , Shanghai 200030, China |
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Abstract: | Uncertainties in engineering design may lead to low reliable solutions that also exhibit high sensitivity to uncontrollable variations. In addition, there often exist several conflicting objectives and constraints in various design environments. In order to obtain solutions that are not only "multi-objectively" optimal, but also reliable and robust, a probabilistic optimization method was presented by integrating six sigma philosophy and multi-objective genetic algorithm. With this method, multi-objective genetic algorithm was adopted to obtain the global Pareto solutions, and six sigma method was used to improve the reliability and robustness of those optimal solutions. Two engineering design problems were provided as examples to illustrate the proposed method. |
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Keywords: | multi-objective genetic algorithm six sigma reliability-based design optimization robust design |
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