基于改进变邻域搜索算法的成型机分批重调度优化

Molding Machines Batch Rescheduling Optimization Based on Improved Variable Neighborhood Search

摘要:

针对成型机故障和工单交货期提前两类事件，提出一种基于改进变邻域搜索算法的分批重调度方法，基于最小分批原则和非等量分批原则对工单进行批量划分，考虑重调度过程的稳定性与准时性，建立数学模型。设计一种改进的变邻域搜索算法（VNS），通过构建转移邻域和叠加邻域两种邻域结构，提高了搜索的收敛速度和寻优能力。最后以某磁性材料成型车间作为实例进行验证。结果表明，所提重调度方法能够在保证工单准时交付的基础上，提高成型机利用率，为工厂的实际生产决策提供参考。

Abstract:

This paper proposed a batch rescheduling method based on improved variable neighborhood search algorithm for two types of events which were molding machine failure and early delivery， and the orders were batch-divided based on the minimum batching principle and non-equal batching principle. Then， a rescheduling mathematical model was established considering the process stability and punctuality. After that， an improved variable neighborhood search algorithm was designed， which had a faster convergence speed and a stronger global optimization ability by constructing transition neighborhood and superposition neighborhood. Finally， a magnetic material molding workshop is taken as an example to verify the results. The results show that the proposed rescheduling method can ensure on-time delivery of order， raise the utilization rate of molding machine， and provide a reference for the production decision of factory.