基于遗传算法及仿真技术的服装生产流水线平衡

针对大部分服装企业存在生产流水线编制效率较低以及生产周期长的普遍现象,提出一种服装工序编排方案自动生成和单件流生产线仿真运行的方法。首先分析服装生产工序编排方法和影响因素,采用拓扑方法和遗传算法相结合,在MatLab(R2016b)软件中建立自动优化模型,实现工序的自动编排;然后考虑服装生产数量和生产线设备情况,采用仿真技术,在Plant Simulation仿真软件中,根据实际生产对工序编排方案进行流水线仿真运行,得出直观可视的仿真结果,实现流水线平衡再优化。生产实例验证表明,流水线编制效率为90.8%,比原有效率提高12.8%,节省流水线编排方案在投产前的平衡调试时间,生产周期缩短。

Garment production line balance based on genetic algorithm and simulation

The low production efficiency and the long production cycle are among the common problems in the clothing industry. A method for balancing the production line with automatic workstation scheduling and production simulation was proposed. By analyzing the influencing factors for balancing the garment production line, the garment production model using topology model and genetic algorithms was developed to optimize the production schedule using MatLab (R2016b). Based on the optimized schedule, simulation technology was adopted to further improve the flow balance, considering the order quantity and equipment status. The production flow was simulated according to actual production line formulation using the Plant Simulation software. Quantitative and visual simulation results were obtained, supporting the re-optimization of the production flow balance. The proposed method was verified with real production data. An efficiency of 90.8% was achieved for experimental production line, representing a 12.8% improvement comparing with the actual production data. It shows that the proposed method can shorten the production cycle, and it provides ideas for the development of the garment production flow optimization and simulation system.