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http://dx.doi.org/10.13160/ricns.2020.13.3.92

Simultaneous Optimization for Robust Parameter Design Using Signal-to-Noise Ratio  

Kwon, Yong Man (Department of Computer Science & Statistics, Chosun University)
Publication Information
Journal of Integrative Natural Science / v.13, no.3, 2020 , pp. 92-96 More about this Journal
Abstract
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.
Keywords
Robust parameter design; Simultaneous optimization method; Signal-to-noise ratio;
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