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Reliability-Based Opportunistic Maintenance Modeling for Multi-Component Systems with Economic Dependence under Base Warranty

机译:基于可靠性的基于基础保修和经济依赖的多组分系统的机会维护建模

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Maintenance usually plays a key role in controlling a multi-component production system within normal operations. Furthermore, the failure of components in the production system will also cause large economic losses for users due to the shutdown. Meanwhile, manufacturers of the production system will be confronted with the challenges of the warranty cost. Therefore, it is of great significance to optimize the maintenance strategy to reduce the downtime and warranty cost of the system. Opportunistic maintenance (OM) is a quite important solution to reduce the maintenance cost and improve the system performance. This paper studies the OM problem for multi-component systems with economic dependence under base warranty (BW). The irregular imperfect preventive maintenance (PM) is performed to reduce the failure rate of components at a certain PM reliability threshold. Moreover, the OM optimization model is developed to minimize the maintenance cost under the optimal OM reliability threshold of each component. A simulated annealing (SA) algorithm is proposed to determine the optimal maintenance cost of the system and the optimal OM threshold under BW. Finally, a numerical example of a belt conveyor drive device in a port is introduced to demonstrate the feasibility and advantages of the proposed model in maintenance cost optimization.
机译:维护通常在控制正常操作中控制多组分生产系统时发挥关键作用。此外,由于关闭,生产系统中的组件的失败也将对用户造成大的经济损失。同时,生产系统的制造商将面临保修费用的挑战。因此,优化维护策略以降低系统的停机和保修费用是具有重要意义。机会维护(OM)是减少维护成本并提高系统性能的一个非常重要的解决方案。本文研究了基础保证(BW)下具有经济依赖的多组分系统的OM问题。执行不规则的不完全预防性维护(PM)以降低特定PM可靠性阈值的组件的故障率。此外,开发了OM优化模型以最小化每个组件的最佳OM可靠性阈值下的维护成本。提出了一种模拟退火(SA)算法以确定系统的最佳维护成本和BW下的最佳OM阈值。最后,引入了端口中的带式输送机驱动装置的数值例子,以证明所提出的模型在维护成本优化中的可行性和优点。

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