考虑备件的随机退化系统状态维修策略

Naifei Ren, Yu Wang, Shuyuan Gan
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引用次数: 0

摘要

有效的备件库存管理不仅可以保证设备维修活动的及时进行,而且可以减少库存资金占用,提高企业的经济效益。在本文中,我们提出了一种考虑系统备件问题的基于状态的维修策略,以共同优化基于状态的维修和备件管理。随机系统逐渐退化并持续监测。备件供应采用(S-1,S)型库存策略。根据提出的策略,部件的更换是基于实际的退化程度,这是由于对备件的需求造成的。采用蒙特卡罗仿真方法对提出的基于状态的维修和备件更换策略进行了仿真。因此,通过备件的优化和部件的状态维护,得到最优解。最后给出了一个数值算例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Condition-Based Maintenance Strategy for Stochastic Degradation Systems Considering Spare Parts
Effective spare parts inventory management can not only ensure timely maintenance of equipment maintenance activities, but also reduce inventory capital occupation and improve the economic benefits of enterprises. In this paper, we present a condition-based maintenance strategy that considers spare parts issues for systems, with the goal of jointly optimizing conditional-based maintenance and spare parts management. Random systems are gradually degraded and continuously monitored. Spare parts supply using (S-1,S) type inventory strategy. According to the proposed strategy, the replacement of components is based on the actual degree of degradation, which is caused by the demand for spare parts. The Monte Carlo simulation method was used to simulate the proposed condition-based maintenance and spare parts replacement strategy. Therefore, the optimal solution is obtained by jointly optimizing the spare parts and condition-based maintenance of the components. Finally, a numerical example is delivered to show the proposed method.
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