考虑生产任务的制造设备关键部件的机会维修优化

为解决制造设备关键部件的维修决策问题,将生产任务信息、视情维修以及机会维修相结合,考虑设备关键部件的剩余价值以及可靠性风险建立维修决策优化模型.在已有关于视情维修和机会维修成果的基础上,考虑关键部件的剩余寿命与下一阶段生产任务时长间的关系,以总成本最小化为目标确定是否在相邻生产任务间利用维修机会,使得在任务顺利进行的条件下降低成本.基于逆高斯过程进行部件退化建模,计算不同维修组合对应的失效概率,进而构建成本最小化目标规划函数并通过仿真算法得到预防性维修的最优值.最后通过数值实验验证所提出维修策略的有效性.

Opportunistic maintenance optimization for key components of manufacturing equipment considering production tasks

In order to solve the maintenance decision-making problem of the key components in a manufacturing equipment, an optimization model for maintenance decision combining the production tasks, condition-based maintenance(CBM) and opportunistic maintenance(OM) is built considering the residual value and the risk of unplanned downtime. Based on the existing works on CBM and OM, a decision on whether taking OM on the component is made for minimizing the total cost by considering the remaining useful life(RUL) and duration of the following task between two adjacent tasks. This is to decrease the maintenance cost by keeping that the task is not interrupted by equipment failures. In this paper, the inverse Gaussian process is used for component degradation modeling and computing the probabilities of different maintenance combinations. Then the objective function is built for minimizing the total cost of maintenance and the model is solved by simulation. Finally the proposed maintenance strategy is validated by numerical experiments.