Clustering condition-based maintenance for systems with redundancy and economic dependencies
Clustering condition-based maintenance for systems with redundancy and economic dependencies
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DOI：
10.1016/j.ejor.2015.11.008
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
M. O. Keizer;R. Teunter;J. Veldman
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文献类型：
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作者：
M. O. Keizer;R. Teunter;J. Veldman
需要维护的系统通常由多个组件组成。在经济依赖的情况下，同时维护这些组件中的几个可能比单独对每个组件执行维护更具成本效益，而在冗余的情况下，可以推迟对一些故障组件的维护，而不会降低系统的可用性。基于状态的维修(CBM)是一种成本最小化策略，其维修行动基于不同部件的实际状况。目前还没有关于同时具有经济依赖性和冗余性的系统的CBM任务集群的研究。我们建立了一个动态规划模型来寻找这类系统的最优维护策略，数值结果表明，它确实可以显著优于以前考虑的策略(基于故障、基于年龄、块替换和更受限(机会主义)的CBM策略)。此外，我们的数字调查为最优政策结构提供了见解。
Systems that require maintenance typically consist of multiple components. In case of economic dependencies, maintaining several of these components simultaneously can be more cost efficient than performing maintenance on each component separately, while in case of redundancy, postponing maintenance on some failed components is possible without reducing the availability of the system. Condition-based maintenance (CBM) is known as a cost-minimizing strategy in which the maintenance actions are based on the actual condition of the different components. No research has been performed yet on clustering CBM tasks for systems with both economic dependencies and redundancy. We develop a dynamic programming model to find the optimal maintenance strategy for such systems, and show numerically that it can indeed considerably outperform previously considered policies (failure-based, age-based, block replacement, and more restricted (opportunistic) CBM policies). Moreover, our numerical investigation provides insights into the optimal policy structure.