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학술논문대한안전경영과학회지2011.12 발행

개량된 가중주효과를 이용한 다특성치 최적화

Optimization of Multiple Characteristics using improved weighted main effects

조용욱(인덕대)

13권 4호, 207~212쪽

초록

Taguchi's robust design methodology has focus only a single characteristic or response, but the quality of most products is seldom defined by a characteristics, and is rather the composite of a family of characteristics which are often interrelated and nearly always measured in a variety of units. The multiple characteristics problem is how to compromise the conflicts among the selected levels of the design parameters for each individual characteristic. This paper presents a Taguchi-like approach based upon improved weighted main effects. One case study is solved by the proposed method.

Abstract

Taguchi's robust design methodology has focus only a single characteristic or response, but the quality of most products is seldom defined by a characteristics, and is rather the composite of a family of characteristics which are often interrelated and nearly always measured in a variety of units. The multiple characteristics problem is how to compromise the conflicts among the selected levels of the design parameters for each individual characteristic. This paper presents a Taguchi-like approach based upon improved weighted main effects. One case study is solved by the proposed method.

발행기관:
대한안전경영과학회
분류:
안전공학

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개량된 가중주효과를 이용한 다특성치 최적화 | 대한안전경영과학회지 2011 | AskLaw | 애스크로 AI