基于遗传算法的服装缝制生产线平衡优化

为解决服装缝制生产线作业间不平衡产生的效率损失问题,建立以最小化平衡损耗率为目标的平衡优化模型。采用遗传算法进行求解,以男式衬衫按照工序流程、工艺种类和服装部件3种工作地布置方式的生产线为例进行应用分析。结果表明:按工序流程方式和工艺种类方式布置工作地,生产线平衡后有14个工作地。按服装部件方式布置工作地,生产线平衡后有15个工作地,同样需要的作业人员数量和机器设备数量要多于其他2种工作地布置方式。按照工序流程方式布置工作地的时间损耗率为8.74%,按照工艺种类方式布置工作地的时间损耗率为11.79%,按照服装部件方式布置工作地的时间损耗率为20.32%,但仍高于企业对生产线最低编制效率的要求。通过仿真模型验证可知,经过优化的3种工作地布置方式均可运用到实际生产中,有效降低企业生产成本。

Balancing optimization of garment sewing assembly line based on genetic algorithm

In order to solve the problem of efficiency loss caused by the imbalance of the garment sewing assembly line,an optimization goal was established to minimize the balance loss rate.The genetic algorithm was used to obtain the result.The men′s shirt assembly lines of three kind of workstation layouts(the order of processes,the type of machines and the components of garment)were taken as examples for application.The results show that there are 14 workstations in the assembly lines where the workstations are arranged according to the processes and machines.There are 15 workstations in the assembly line that the workstations are arranged according to the garment components.And the number of operators and machines required are more than the other two kinds of workstation layouts.The time loss rate of the workstations arranged according to the processes is 8.74%.The time loss rate of the workstations arranged according to the machines is 11.79%.And the time loss rate of the workstations arranged according to the garment components is 20.32%,but it is still higher than the lowest line of the enterprise.It can be seen from the simulation model that the optimized assembly lines of three workstation layouts can be applied to actual production,which can effectively reduce the production cost of the enterprise.