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.

中文翻译：

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基本保修下具有经济依赖性的多组件系统基于可靠性的机会性维修建模

维护通常在控制正常运行中的多组件生产系统中起关键作用。此外，由于停机，生产系统中组件的故障也将给用户造成巨大的经济损失。同时，生产系统的制造商将面临保修成本的挑战。因此，优化维护策略以减少系统的停机时间和保修成本具有重要意义。机会性维护（OM）是降低维护成本并提高系统性能的非常重要的解决方案。本文研究了在基本保修（BW）下具有经济依赖性的多组件系统的OM问题。执行不规则的不完善的预防性维护（PM）以在某个PM可靠性阈值下降低组件的故障率。此外，开发了OM优化模型，以在每个组件的最佳OM可靠性阈值下将维护成本降至最低。提出了一种模拟退火算法来确定系统的最佳维护成本和BW下的最佳OM阈值。最后，介绍了港口中皮带输送机驱动装置的数值示例，以证明所提出的模型在维护成本优化中的可行性和优势。提出了一种模拟退火算法来确定系统的最佳维护成本和BW下的最佳OM阈值。最后，介绍了港口中皮带输送机驱动装置的数值示例，以证明所提出的模型在维护成本优化中的可行性和优势。提出了一种模拟退火算法来确定系统的最佳维护成本和BW下的最佳OM阈值。最后，介绍了港口中皮带输送机驱动装置的数值示例，以证明所提出的模型在维护成本优化中的可行性和优势。