Solving Multi-Response Optimization Problem Using Artificial Neural Network and PCR-VIKOR

摘要：

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

关键词： multiresponse optimization artificial neural network Taguchi process capability ratio (PCR) VIKOR method

作者: Mahdi Bashiri Amir Farshbaf Geranmayeh Mahtab Sherafati

作者单位: Department of Industrial Engineering Shahed University Tehran, Iran

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 1031-1036

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）