Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지

Alternative Optimization Procedure to Parameter Design

파라미터 설계에 대한 최적화 대체방안

  • Kwon, Yong-Man (Dept. of Computer Science and Statistics, Chosun University) ;
  • Chang, Duk-Soon (Department of Statistics, Changwon National University)
  • 권용만 (조선대학교 전산통계학과) ;
  • 장덕준 (창원대학교 통계학과)
  • Published : 2001.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

Taguchi parameter design is an approach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used signal-to-noise(SN) ratio to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Many statisticians criticize the Taguchi techniques of analysis, particularly those based on SN ratio. In this paper we propose a substantially simpler optimization procedure for parameter design without resorting to SN ratio.

다구찌가 제안한 파라미터 설계는 제품설계나 공정설계 단계에서 품질특성치의 수행변동(performance variation)을 줄이는데 있다. 파라미터 설계에서 품질평균 근처에서 품질의 변동을 줄일 수 있는 최적조건을 찾는데 있어서 신호대 잡음비(Signal-to-noise ratio; SN비)라는 수행측도(performance measure)를 사용하였다. 그러나 많은 통계학자들은 SN비를 이용한 다구찌 분석 기법을 비판한다. 본 논문에서는 파라미터 설계를 위한 최적조건을 찾는데 있어서 SN비를 사용하지 않는 보다 실질적인 최적방안을 제안한다.

Keywords

References

  1. Performance Criteria and Statstical Analysis:Part Ⅰ, Technical Report 11 Studies in Quality Improvement: Signal to Noise Ratios Box, G. E. P.
  2. Technometrics v.30 Signal-to-Noise Ratios, Performance Criteria and Transformations Box, G. E. P.
  3. Empirical Model-Building and Response Surfaces Box, G. E. P.;Draper, N. R.
  4. Journal of Quality Technology v.28 Dual Response Optimization via Direct Function Minimization Copeland, K. A. F.;Nelson, P. R.
  5. Journal of Quality Technology v.25 A Nonlinear Programming Solution to the Dual Response Problem Del Castillo, E.;Montgomery, D. C.
  6. Technometrics v.29 Performance Measures Independent of Adjustment (with discussion) Leon, R. V.;Shoemaker, A. C.;Kackar, R. N.
  7. Journal of Quality Technology v.27 Dual Response Surface Optimization Lin, D. K. J.;Tu, W.
  8. Technometrics v.15 Dual Response Surface Techniques for Dual Response Systems Myers, R. H.;Carter, W. H. Jr.
  9. AT T Technical v.65 Data Analysis Strategy for Quality Engineering Experiments Nair, V. N.;Pregibon, D.
  10. White Plains System of Experimental Design: Engineering Methods to Optimize Quality And Minimize Cost Taguchi, G.
  11. Journal of Quality Technology v.22 Combining Taguchi and Response Surface Philosophies: A Dual Response Approach Vining, G. G.;Myers, R. H.