통합자연과학논문집 (Journal of Integrative Natural Science)

조선대학교 기초과학연구원 (The Basic Science Institute Chosun University)
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Simultaneous Optimization for Robust Parameter Design Using Signal-to-Noise Ratio

  • Kwon, Yong Man (Department of Computer Science & Statistics, Chosun University)
  • 투고 : 2020.08.19
  • 심사 : 2020.09.04
  • 발행 : 2020.09.30
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초록

Taguchi's robust parameter design is an approach to reduce the performance variation of quality characteristics in products and processes. In robust design, the signal-to-noise ratio (SN ratio) was used to find the optimum condition to minimize the variation of quality characteristics as much as possible and bring the average of quality characteristics closer to the target value. In this paper, we propose a simultaneous optimization method based on a linear model of the SN ratio as a method to find the optimal condition of the control factor in case of multi-characteristics. In addition, the proposed method and the existing method were compared and studied by taking actual cases.

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참고문헌

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