Joint optimization strategy of condition-based preventive replacement and spare parts ordering for multi-unit systems
Joint optimization strategy of condition-based preventive replacement and spare parts ordering for multi-unit systems
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DOI：
10.1088/1742-6596/1983/1/012120
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Hongqing Ye;Haochen Wang;Huade Su;Jie Lin;W. Weng;Meimei Zheng
中科院分区：
文献类型：
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作者：
Hongqing Ye;Haochen Wang;Huade Su;Jie Lin;W. Weng;Meimei Zheng
为了解决多单元系统状态维修和备件订购的联合优化问题，提出了一种基于马尔可夫决策过程的精确公式。组件的状态通过连续过程（即维纳过程）来描述。定期检查系统，并根据组件的状况更新剩余使用寿命。通过价值迭代算法，通过最小化平均维护和订购成本来获得最优策略。通过与阈值策略进行比较，对两个单元系统进行了数值研究，以验证我们的策略的有效性。
To solve the joint optimization problem of condition-based maintenance and spare parts ordering for multi-unit systems, an exact formulation based on the Markov decision process is proposed. The condition of components is described by a continuous process, i.e., the Wiener process. The system is inspected periodically and the remaining useful life is updated based on components’ condition. Through the value iteration algorithm, the optimal policy is obtained by minimizing the average maintenance and ordering cost. A numerical investigation with a two-unit system is conducted to validate the effectiveness of our policy by comparison with the threshold strategy.