基于遗传算法的多品种小型电机装配排产优化

小型电机是多种电气传动的基础部件,品种多,生产工艺和装配过程复杂,随着市场需求量的逐年增长,提高小型电机的装配效率变得尤为重要。在深入分析W公司小型电机装配流程的基础上,采用遗传算法构建了以缩短生产周期为目标,以每个工作站最多加工一个工件且工件在装配线上采用平行移动方式为约束的多品种排产优化模型,编制了程序进行仿真优化,结果显示生产周期较原先缩短了8.3%,产能较原先提高了8.2%。

Optimization of Assembly and Production Scheduling of Multi-variety Small Motor Based on Genetic Algorithm

Micro-motor is the basic part of a variety of electrical transmission,with many varieties,production process and assembly process is complex,with the market demand growth year by year,improving the assembly efficiency of micro-motor has become particularly important.On the basis of in-depth analysis on the assembly process of micro-motor of W company,genetic algorithm(ga)is used to construct the multi-variety production scheduling optimization model with shortening the production cycle as the goal,with each workstation at most an artifact and workpieces using parallel moving way on the assembly line as the constraints,the program is compiled to optimize the simulation and results show that the production cycle has been shortened by 8.3%,capacity is increased by 8.2%.