Collaborative optimization of maintenance and spare ordering of continuously degrading systems

查看全文 作　　者：Wei [1]Zhou;Dongfeng [2]Wang;Jingyu [1]Sheng;Bo [1]Guo

机构地区：[1]College of Information System and Management, National University of Defense Technology, Changsha 410073, P. R. China;[2]Beijing Special Engineering Design and Research Institute, Beijing 100028, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》索引2012年第23卷第1期,共8页

基　　金：supported by the National Natural Science Foundation of China (60904002; 70971132) 摘　　要：A collaborative optimization model for maintenance and spare ordering of a single-unit degrading system is proposed in this paper based on the continuous detection. A gamma distribution is used to model the material degradation. The degrading decrement after the imperfect maintenance action is assumed as a random variable normal distribution. This model aims to obtain the optimal maintenance policy and spare ordering point with the expected cost rate within system lifecycle as the optimization objective. The rationality and feasibility of the model are proved through a numerical example. 关键词：协同优化退化系统订货点备件维修优化模型维护策略连续检测

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Collaborative optimization of maintenance and spare ordering of continuously degrading systems

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