不完美检测下的控制图与预防性维修联合设计

发布时间：2018-06-12 08:34

本文选题：控制图 + 预防性维修策略　；参考：《工业工程与管理》2017年04期

【摘要】：目前,复杂系统的修复和检测费用往往比较高,过程比较繁琐,且由于设备故障停机造成了大量损失。针对这一问题,提出一种通过系统产出间接地判断整个系统是否存在问题,并在此基础上进行预防性维修的决策方法。与传统检测的方法不同,利用控制图监控产品,充当设备的传感器,间接地判断生产产品的设备是否正常。根据不完美检测下的监控结果,进行适当的维修策略,基于更换过程理论,建立单位时间成本最小的目标函数,提出控制图与预防性维修的优化参数设置。通过遗传算法进行数值仿真,表明该模型能有效实现控制图与预防性维修的联合经济设计目标。研究对于生产系统节约成本、提高综合经济效益具有现实意义。
[Abstract]:At present, the cost of repair and detection of complex system is often higher, the process is more complicated, and because of equipment failure shutdown caused a lot of losses. In order to solve this problem, a decision method is proposed to indirectly judge whether there is a problem in the whole system through system output, and to carry out preventive maintenance on the basis of it. Different from the traditional detection method, the control chart is used to monitor the product, act as the sensor of the equipment, and indirectly judge whether the production equipment is normal or not. According to the monitoring results under imperfect detection, proper maintenance strategy is carried out. Based on the theory of replacement process, the objective function of minimum unit time cost is established, and the optimal parameters of control chart and preventive maintenance are set up. The numerical simulation by genetic algorithm shows that the model can effectively realize the joint economic design goal of control chart and preventive maintenance. The research is of practical significance for the production system to save cost and improve the comprehensive economic benefits.
【作者单位】：天津理工大学管理学院;
【基金】：国家自然科学基金资助项目(71471131)
【分类号】：TH17

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