DocumentCode :
3529848
Title :
Application of improved Taguchi method to the multiresponse optimization
Author :
Wu, Xiao-fang ; Zhou, Gang
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Volume :
Part 3
fYear :
2011
fDate :
3-5 Sept. 2011
Firstpage :
1829
Lastpage :
1832
Abstract :
Taguchi method is the most popular approach for multiresponse optimization. However, the weighting values of responses are ignored in this approach. Thus improved Taguchi method is presented, which applies the principal component analysis to evaluate the weights so that their relative importance can be properly described. The implementation and effectiveness of the proposed method are illustrated by an example from the literature. The results show that improved Taguchi method can optimize the multiresponses.
Keywords :
Taguchi methods; optimisation; principal component analysis; improved Taguchi method; multiresponse optimization; principal component analysis; Analysis of variance; Eigenvalues and eigenfunctions; Optimization; Predictive models; Principal component analysis; Tin; Wireless sensor networks; Signal-to-noise ratio; Taguchi method; multiresponse; principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
Type :
conf
DOI :
10.1109/ICIEEM.2011.6035521
Filename :
6035521
Link To Document :
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