한국품질경영학회:학술대회논문집 (Proceedings of the Korean Society for Quality Management Conference)
- 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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- Pages.556-567
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- 1998
로버스트 설계에 대한 최적화 방안
A Optimization Procedure for Robust Design
- Kwon, Yong-Man (Dept. of Computer Science & Statistics, Chosun University) ;
- Hong, Yeon-Woong (Dept. of Industrial Engineering, Dongyang University)
- 발행 : 1998.11.01
초록
Robust design in industry is an approach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used the signal-to-noise ratio(SN) to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Taguchi has dealt with having constraints on both the mean and variability of a characteristic (the dual response problem) by combining information on both mean and variability into an SN. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for robust design to solve the dual response problems without resorting to SN. Two examples illustrate this procedure. in the two different experimental design(product array, combined array) approaches.
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