在生产过程中需要对机器进行预防性维护和故障维修,但维修工人数量少、培养周期长、人力成本高,致使维护计划时必须考虑人力资源约束.针对该问题,建立了考虑维修工人资源和机器资源双约束的维护和生产活动集成调度模型;根据威布尔公式计算出最佳预维护周期,设定预维护时间窗口,在时间窗口内进行预维护,根据机器累计加工时长进行判断,脱离窗口可能需要的故障维修;最短生产周期为优化目标,采用改进遗传算法求解模型,采用三层编码方式,引入精英保留策略,通过算例仿真实验寻找作业车间维修工人最佳配比数量.与未考虑双资源约束的研究进行对比,验证模型与算法的可行性与有效性.
In the production process,it is necessary to carry out preventive maintenance and fault repair of the machine,but the number of maintenance workers is small,the training cycle is long,and the labor cost is high,so the human resource constraints must be considerated in the maintenance plan.To solve this problem,the integrated scheduling model of maintenance and production activities is established,which considers the double constraints of maintenance worker resources and machine resources.According to Weibull formula,the optimal pre-maintenance period is calculated,and the pre-maintenance time window is set.The pre-maintenance is carried out within the time window.According to the accumulated processing time of the machine,the fault maintenance may be required if the machine is out of the window.With the shortest production cycle being the optimization goal,the improved genetic algorithm is adopted to solve the model,three-layer coding is adopted,elite retention strategy is introduced,and the optimal number of maintenance workers in the job shop is found through numerical simulation experiments.The feasibility and effectiveness of the model and algorithm are verified by comparison with the research without considering the double resource constraints.