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

원문정보

Yong Man Kwon

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초록

영어

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.

목차

Abstract
1. Introduction
2. A Simultaneous Optimization Procedure for Robust Parameter Design
2.1 Proposed Optimization Method Using SN Ratio
2.2 Conventional optimization procedure
3. Numerical Example
3.1 Optimization Method by Performance Measure SM
3.2 Result of Conventional Optimization Procedure
3.3 Comparative Study
4. Conclusions
References

저자정보

  • Yong Man Kwon Department of Computer Science & Statistics, Chosun University, Gwangju

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자료제공 : 네이버학술정보

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