| Mechanical and Energy Engineering |
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| Maintenance modeling for deteriorating system considering quality loss |
| ZHOU Bing hai,LIU Zi long |
| College of Mechanical Engineering, Tongji University, Shanghai 201804, China |
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Abstract An optimization decision model was built to minimize operation cost per unit time, thus to efficiently solve the preventive maintenance (PM) problem of deteriorating systems. This model considered the production quality loss and influence of buffer, where “two machines with an intermediate buffer” system model was taken as research object. First, a function relation between system status and quality loss was constructed based on the Taguchi quality loss theory. Next, the conditionbased PM policy and time-based PM policy were adopted for the bottleneck machines and non-bottleneck machines, respectively. Then, an opportunistic maintenance (OM) policy was proposed based on the theory of constrains (TOC). According to TOC and using PM of bottleneck machines as decision point of OM, the expected cost saving function was used to determine whether to operate OM for non-bottleneck machines or not. Finally, the iterative algorithm was applied to find the optimal decision combinations; Monte Carlo method was applied to analyze the results. Results show that the proposed model is feasible and effective; OM policy is better for saving cost and improving output compared with scheduled maintenance.
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Published: 08 December 2016
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考虑质量损失的退化系统维护建模
为有效解决退化系统的预防性维护问题,以“两设备带缓冲区”的系统模型为研究对象,综合考虑产品质量损失和缓冲区的影响,建立以最小化单位运行成本为目标的预防性维护模型.基于田口质量损失理论,构建系统状态与质量损失间的函数关系|针对退化系统中的瓶颈设备和非瓶颈设备,分别建立基于可靠度和时间的预防性维护策略.根据约束理论,以瓶颈设备的预防性维护作为机会维护（OM）的决策点,利用期望成本节余函数来判断是否对非瓶颈设备进行机会维护.利用迭代算法寻找最优决策组合,并通过蒙特卡罗仿真对算例进行分析.结果表明,所建模型是可行且有效的|与计划维护策略相比,机会维护（OM）策略在降低成本和提高产出方面的表现更优.
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