Joint optimization of inspection-based and age-based preventive maintenance and spare ordering policies for single-unit systems

被引:3
作者
Ma Weining [1 ]
Zhao Fei [1 ,2 ,3 ]
Li Xin [3 ]
Hu Qiwei [1 ]
Shang Bingcong [2 ,3 ]
机构
[1] Army Engn Univ, Dept Equipment Command & Management, Shijiazhuang Campus, Shijiazhuang 050003, Hebei, Peoples R China
[2] Northeastern Univ, Sch Business Adm, Shenyang 110057, Peoples R China
[3] Northeastern Univ Qinhuangdao, Qinhuangdao 066099, Hebei, Peoples R China
关键词
maintenance optimization; imperfect maintenance (IPM); three-stage failure process; spare ordering; REPLACEMENT POLICY; IMPERFECT MAINTENANCE; MINIMAL-REPAIR; MODEL; TIME; AVAILABILITY; PERFECT; SUBJECT;
D O I
10.23919/JSEE.2022.000120
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a joint optimization policy of preventive maintenance (PM) and spare ordering for single-unit systems, which deteriorate subject to the delay-time concept with three deterioration stages. PM activities that combine a non-periodic inspection scheme with age-replacement are implemented. When the system is detected to be in the minor defective stage by an inspection for the first time, place an order and shorten the inspection interval. If the system has deteriorated to a severe defective stage, it is either repaired imperfectly or replaced by a new spare. However, an immediate replacement is required once the system fails, the maximal number of imperfect maintenance (IPM) is satisfied or its age reaches to a pre-specified threshold. In consideration of the spare's availability as needed, there are three types of decisions, i.e., an immediate or a delayed replacement by a regular ordered spare, an immediate replacement by an expedited ordered spare with a relative higher cost. Then, some mutually independent and exclusive renewal events at the end of a renewal cycle are discussed, and the optimization model of such a joint policy is further developed by minimizing the long-run expected cost rate to find the optimal inspection and age-replacement intervals, and the maximum number of IPM. A Monte-Carlo based integration method is also designed to solve the proposed model. Finally, a numerical example is given to illustrate the proposed joint optimization policy and the performance of the Monte-Carlo based integration method.
引用
收藏
页码:1268 / 1280
页数:13
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