ZHU Wei, ZHENG Hong, LIN Shao-pei, HU Hao, LI Ye, XU Wen-bin. A Computer Aided System for URT Maintenance Optimization Based on a FMEA-fuzzy Model[J]. International Journal of Plant Engineering and Management, 2012, 17(4): 193-207

A Computer Aided System for URT Maintenance Optimization Based on a FMEA-fuzzy Model
ZHU Wei1
1. School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiaotong University,Shanghai 200240,P.R.China;
2. School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,P.R.China;
3. Institute of Engineering Management,Shanghai Jiaotong University,Shanghai 200240,P.R.China;
4. Software Engineering Institute,East China Normal University,Shanghai 200240,P.R.China;
5. Shanghai Rail Transit Maintenance Support Centre,Shanghai 200234,P.R.China
In recent years,urban rail transit (URT) systems have rapidly developed in China,however,their existing strategies for vehicle maintenance are still based on experiential and qualitative methods which result in either high cost or emergencies.In this paper,a tentative attempt at introducing the fuzzy set theory into quantitative analysis and assessment of URT trains' failures was presented.Based on the proposed FMEA-fuzzy model,a computer aided system for URT maintenance optimization was developed.The overall structure and procedure of the system were described in detail,and the important issues,including the development environment,improvement to FMEA table,acquisition of weight distribution matrix P,and setting of fuzzy vector R,were also discussed.Initial application into the vehicle maintenance of Shanghai Metro System shows,that the proposed model and computer aided system have a good performance and consequently are worth further development.
Key words:    urban rail transit    maintenance    fuzzy set    failure mode and effects analysis (FMEA)    computer aided system   
Received: 2012-09-20     Revised:
Funds: This paper is supported by the Research Program of Science and Technology Commission in Shanghai under Grant No.10dz1122702
Corresponding author:     Email:
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