考虑有限维修人员及多种依赖性的制造系统双阈值群体维护决策

Group Maintenance Policy of Manufacturing Systems Considering Limited Maintenance Workers and Multiple Types of Dependencies

大型制造系统的设备间存在复杂的结构、随机、经济和资源依赖性。维修人员作为多台设备共享的有限维护资源,数量少会使停机等待时间过长,而数量多会导致资源浪费和成本增加。为研究有限维修人员和多种依赖性对制造系统群体维护策略的影响,首先建立了单设备的双阈值视情维护模型;其次考虑维修人员数量和设备间依赖性对停机时间及维护成本的影响,建立了并串联制造系统的群体维护模型;然后以最小化总维护成本为目标寻求最优维护时间窗长度与维修人员数量;最后以某空调压缩机壳体生产车间为例进行了验证。结果显示,所提方法相比雇佣充足维修人员时降低了2.85%的总维护成本。所提出模型的创新性在于同时考虑了多设备制造系统的设备间四种依赖性以及维修人员的数量约束。

The machines in large-scale manufacturing systems are subject to complex structural,stochastic,economic,and resource dependencies.Limited maintenance workforce is shared by multiple machines.Too few maintenance workers would extend maintenance downtime,while too many maintenance workers would lead to wasted resource and increased costs.To study the influence of limited maintenance workforce and multiple dependencies on group maintenance strategy,firstly,a dual-threshold conditional-based maintenance model for a single machine was established.Secondly,the effects of limited maintenance workforce and multiple dependencies on downtime and maintenance cost were considered,and a group maintenance model for a parallel-series manufacturing system was established.Then,the optimal maintenance personnel number and time window length were optimized by minimizing the total maintenance cost.Finally,an example of an air conditioning compressor shell manufacturing system was presented.At least 2.85%of maintenance cost is reduced compared with hiring sufficient maintenance workers.The novelty of the proposed model lies in the simultaneous consideration of the four types of dependencies as well as limited workforce.