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An alternative procedure for parameter design using desirability function in combined array

통합배열에서 기대함수를 이용한 파라미터설계 대체방안

  • Kwon, Yong Man (Department of Computer Science and Statistics, Chosun University)
  • 권용만 (조선대학교 컴퓨터통계학과)
  • Received : 2016.07.18
  • Accepted : 2016.08.26
  • Published : 2016.09.30

Abstract

Product array approach which is used in the Taguchi parameter design has a number of advantages by considering the noise factor. However, a disadvantage of this method is that it requires an excessively large number of experiments. So combined array approach have been proposed to reduce the number of experiments. Taguchi has used the signal-to-noise ratio to find the optimum conditions in the Taguchi parameter design. In analyzing the data from the parameter design various problems tends occur by using an SN. In this paper, we propose an alternative solution for reducing the number of experiments without depending on the signal-to-noise ratio to overcome the shortcomings of the parameter design. Two examples illustrate this procedure in the two different experimental design (product array, combined array) approaches.

다구찌가 제안한 파라미터설계에서 사용되는 교차배열은 제어인자뿐만 아니라 잡음인자를 동시에 고려한 획기적인 방법으로 많은 장점이 있다. 반면 단점으로는 지나치게 많은 실험수를 필요로 하는 점이다. 실험수를 줄이기 위한 방안으로 통합배열 방법론이 제시되었다. 또 다른 단점으로 다구찌는 최적조건을 찾는데 있어서 신호대 잡음비를 사용하였는데 신호대 잡음비를 사용함에 따라 여러 가지 문제가 발생하였다. 본 논문에서는 파라미터설계에서의 단점을 개선하고자 신호대 잡음비에 의존하지 않으면서도 실험수를 줄이기 위한 대체방안을 제안하고자 한다. 아울러 파라미터설계에서 사용되는 교차배열과 실험수를 줄인 통합배열 두 가지 사례를 들어 비교 연구하고자 한다.

Keywords

References

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