A Comparative Study on Optimization Procedures to Robust Design

로버스트설계에서 최적화방안에 대한 비교 연구

  • Kwon, Yong-Man (Dept. of Computer Science and Statistics, Chosun University) ;
  • Mun, In-Suk (Dept. of Computer Science and Statistics, Chosun University)
  • 권용만 (조선대학교 자연과학대학 전산통계학과) ;
  • 문인숙 (조선대학교 자연과학대학 전산통계학과)
  • Published : 2000.04.30


Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Taguchi parameter design has a great deal of advantages but it also has some disadvantages. The various research efforts aimed at developing alternative methods. In the Taguchi 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 this paper we make a comparative study on optimization procedures to robust design in the two different experimental design(product array, combined array) approaches the Mough the Monte Carlo simulation.


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