Simultaneous Optimization for Robust Design using Distance and Desirability Function

  • Kwon, Yong-Man (Associate Professor, Department of Computer Science and Statistics, Chosun Univeristy, Kwangju, 501-759)
  • 발행 : 2001.12.01

초록

Robust design is an approach to reducing performance variation of response values in products and processes. In the Taguchl parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when there are correlations among responses, and when we use the combined-array approach to assign control and noise factors. An example is illustrated to show the difference between the Taguchi's product-array approach and the combined-array approach.

키워드

참고문헌

  1. 한국통계학회논문집 v.3 no.2 Simultaneous Optimization of Multiple Responses Alternatives to the Taguchi Parameter Design 권용만
  2. Total Quality Management v.3 Designing Products That Are Robust to the Environment Box,G.E.P.;Jones,S.P.
  3. Journal of Quality Technology v.12 Simultaneous Optimization of Several Response Variables Derringer,G.;Suich,R.
  4. Regression and Econometrics Methods Huang,D.S.
  5. Technometrics v.23 simultaneous Optimization of Multiple Responses Represented by polynomial Functions Khurk,A.I.;Conlon,M.
  6. Introduction to Quality Engineering Designing Quality Into Products and Processes Taguchi,G.
  7. System of Experimental Design Engineering Methods to Optimize Quality and Minimize Cost Taguchi,G.
  8. Journal of Quality Technology v.22 Combining Taguchi and Response Surface Philosophies : A Dual Response Approach Vining,G.G.;Myers,R.H.
  9. Journal of Quality Technology v.23 Computer Experiments for Quality Control by Parameter Design Welch,W.J.;Yu,T.K.;Kang,S.M.;Sacks,J.