A Comparative Study on Multiple Response Optimization for Robust Design

• 발행기관: 한국자료분석학회
• 저자명: Yong-Man Kwon Duk-Joon Chang Yeon-Woong Hong
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.5 No.1, 45~54쪽, 전체 10쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2003.03.30

영문 초록

In the Taguchi type robust design, the product array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. We propose how to optimize multiple responses when we use the combined array approach to assign control and noise factors. An example is illustrated to show the difference between the product array approach and the combined array approach, and to show the performances of the proposed test statistics.

목차

1. Introduction

2. Multiple Response Optimization for Robust Design

3. Example

4. Conclusions

References

키워드

robust design product array approach optimize multiple responses combined array approach