Adaptive Opportunistic Maintenance for Multi-unit Systems Subject to Stochastic Degradation

被引:0
|
作者
Zhu, Zhicheng [1 ]
Xiang, Yisha [2 ]
Jin, Tongdan [3 ]
Li, Mingyang [4 ]
机构
[1] Lamar Univ, Dept Ind Engn, 2608 Cherry Engn Bldg, Beaumont, TX 77710 USA
[2] Lamar Univ, 2626 Cherry Engn Bldg, Beaumont, TX 77710 USA
[3] Texas State Univ, 601 Univ Dr, San Marcos, TX 78666 USA
[4] Univ S Florida, Dept Ind & Management Syst Engn, 4202 E Fowler Ave, Tampa, FL 33620 USA
来源
2018 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS) | 2018年
基金
中国国家自然科学基金;
关键词
opportunistic maintenance; simulation; stochastic degradation; Gamma process;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
failure, the maintenance performed on any component usually incurs a common system setup cost, regardless of the number of components being maintained. Therefore, whenever a component undergoes the maintenance, there is an opportunity to conduct preventive maintenance (PM) on other components even though their degradation does not exceed their own PM thresholds. Thus, simultaneously conducting PM on multiple components can pontential reduce total setup costs, realizing maintenance saving over a long run. Though multi-component maintenance planning has received much attentions in the past decades, most decision models are built upon individual components, such as block-based maintenance and periodic inspection/replacement policy. In this paper, we propose an opportunistic maintenance policy that adaptively adjusts the inspection interval, and the thresholds of PM and opportunistic maintenance based on the degradation of all components. A simulation model is developed to minimize the long-run cost rate by considering the costs associated with inspection, setup, and maintenance actions. Finally, the numerical examples are provided to demonstrate how to optimize the opportunistic maintenance threshold under different setup cost, PM overhead, and reliability parameters.
引用
收藏
页数:7
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