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http://dx.doi.org/10.7465/jkdi.2016.27.5.1263

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

Kwon, Yong Man (Department of Computer Science and Statistics, Chosun University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.5, 2016 , pp. 1263-1272 More about this Journal
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.
Keywords
Combined array; product array approach; signal-to-noise ratio; Taguchi parameter design;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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