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《Journal of Shanghai Jiaotong University》 2009-05
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Multi-attribute Model for Dynamic Preventive Maintenance Decision with Hybrid Evolution Factors

XIA Tang-bin,ZHOU Xiao-jun,XI Li-feng(School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,China)  
The research deals with dynamic preventive maintenance decision with hybrid evolution factors based imperfect maintenance model,which is more available than static maintenance decision with immobile periods since the fact that the degradation rate will unavoidably increase with increasing system age.The criterion used to determine the optimality of preventive maintenance periods is the multi-attribute model established based on the maintenance cost rate and the equipment availability rate.Based on all(above),a dynamic algorithm was presented.The results of a numerical example indicate that the proposed algorithm is valid for resolving the optimal time intervals of different preventive maintenance periods.
【Fund】: 国家自然科学基金资助项目(50675137 70671065);; 国家高技术研究发展计划(863)项目资助(2007BAF10B00)
【CateGory Index】: TH17
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