关键词: 生产线平衡；作业组合；遗传算法；计算模型

Abstract: In order to solve the problem of time loss caused by the imbalance between the production lines on the right side of the assembly line, a production line balance optimization model is established to meet the process constraints and improve the overall efficiency of the production line. The six core elements of the job combination are job content, job hours, fixed station, job site, immediate job and job tool. As long as the constraints are added to the above content, the genetic algorithm is used, and the Python programming language is used to calculate the target solution that meets the constraints, the job combination result of the line body optimization can be obtained. Taking the assembly line on the right side of the production line as an example for application analysis, after program optimization, the line balance rate increased from 81.3% to 95.1%; according to the combined optimization scheme of the program output, the line body test is carried out, and it is found that the line body balance rate is 93.8%, which is significantly improved compared with that before optimization, and the rationality and effectiveness of the optimization model are verified.

Key words: Line balance; Job mix; Genetic algorithm; Calculate model