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Th is pa pe r a ppe a r s in :

Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on

D a t e of Con fe r e n ce : 15-18 June 2012 Au t h or ( s) : Bashiri, Mahdi

Dept. of Ind. Eng., Shahed Univ., Tehran, Iran Geranmayeh, Amir Farshbaf; Sherafati, Mahtab Pa ge ( s) : 1033 - 1038

Pr odu ct Type : Conference Publications

Ava ila ble For m a t s N on - M e m be r Pr ice

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Solvin g m u lt i- r e spon se opt im iz a t ion pr oble m u sin g a r t ificia n e t w or k a n d PCR- V I KOR

ABSTRACT

In this paper a hybrid approach is introduced to solve multiple response problems. In the propose to noise (SN) ratio is computed and then SN ratios for unexperimented treatments are estimated neural network. The SN ratios are converted into a process performance index by applying proces and VIKOR method, so the treatments can be ranked and the best of them is selected. The perfor proposed method is verified in a case study. Moreover a sensitivity analysis has been done by a V estimator turned neural network. The results show efficiency of the proposed approach.

I N D EX TERM S I EEE Te r m s

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Artificial neural networks , Biological neural networks , Equations , Indexes , Optimization , Sensitivity I N SPEC

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Cont r olle d I n de x in g

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mathematics computing , neural nets , optimisation , sensitivity analysis N on Cont r olle d I nde x ing

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PCR-VIKOR , VIKOR score estimator turned neural network , Vlse Kriterijumska Optimizacija I Kom method , artificial neural network , hybrid approach , multiresponse optimization problem , process process performance index , sensitivity analysis , signal to noise ratio

Au t h or Ke yw or ds

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Taguchi , VIKOR method , artificial neural network , multiresponse optimization , process capability ra NEW!