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The Development of Taguchi and Response Surface Method Combined Model  

Ree, Sang-Bok (Dept. of Industrial Engineering, Seokyeong University)
Kim, Youn-Soo (Dept. of Applied Statistics, Yonsei University)
Yoon, Sang-Woon (Dept. of Applied Statistics, Yonsei University)
Publication Information
IE interfaces / v.23, no.3, 2010 , pp. 257-263 More about this Journal
Abstract
Taguchi defined a good quality as 'A correspondence of product characteristic's expected value to the objective value satisfying the minimum variance condition.' For his good quality, he suggested Taguchi Method which is called Robust design which is irrelevant to the effect of these noise factors. Taguchi Method which has many success examples and which is used by many manufacturing industry. But Optimal solution of Taguchi Method is one among the experiments which is not optimal area of experiment point. On the other hand, Response Surface Method (RSM) which has advantage to find optimal solution area experiments points by approximate polynomial regression. But Optimal of RSM is depended on initial point and RSM can not use many factors because of a great many experiment. In this paper, we combine the Taguchi Method and the Response Surface Method with each advantage which is called Taguchi-RSM. Taguchi-RSM has two step, first step to find first solution by Taguchi Method, second step to find optimal solution by RSM with initial point as first step solution. We give example using catapults.
Keywords
taguchi method; response surface method; taguchi-RSM method;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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