Research on multi-objective optimization of production line based on genetic algorithm

Automatic guided vehicle as the carrier of material transportation, make the production line material flow according to time, which is a key part of the production line design. Aiming at the problem that the AGV quantity, distribution quantity and speed parameters are not determined in the preliminary scheme of production line, which affects the optimal scheme of production line. The production cycle of production line, total capacity of temporary storage area of production line, average utilization rate of equipment and average utilization rate of AGV were taken as multi-objective. Full factor experiment method was used to study the influence of AGV quantity, distribution quantity and speed on multiple targets and its changing rules, identify key factors and optimization targets. A multi-objective mathematical model was established, and genetic algorithm was used to solve the problem, and adjust the number of parallel processes, the optimization scheme was obtained and verified by simulation. The results show that the method can solve the problem effectively, and reduce the number of working AGVs to 1, it improves resource utilization and reduces the investment cost of enterprises.