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基于Witness与粒子群算法的连接器装配线仿真与优化

Connector Assembly Line Simulation and Optimization Based on Witness and Particle Swarm Optimization

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【作者】 邓超胡瑞飞蒋捷峰殷国富

【Author】 DENG Chao;HU Rui-fei;JIANG Jie-feng;YIN Guo-fu;School of Mechanical Engineering, Sichuan University;

【通讯作者】 胡瑞飞;

【机构】 四川大学机械工程学院

【摘要】 针对目前装配线常用优化方法的不足,提出一种以生产需求为导向的装配线优化方法。以某连接器装配线为例,先根据生产需求和工作制计算出生产节拍和工位数,以生产节拍和平滑指数为优化目标,使用粒子群算法(PSO)进行工序分配;然后运用Witness仿真分析装配线,根据工厂实际情况,对瓶颈工位提出了拆分工序和增加并行单元的改进方案;最后再次用PSO进行工序优化分配,得到仿真结果:瓶颈工位改进后,平衡率提高了18.2%,达到91.9%,装配效率提高33.1%,满足了生产需求,证明了该装配线优化方法和瓶颈工位改进方案的有效性。

【Abstract】 In view of the shortcomings of the current assembly line optimization methods, an assembly line optimization method based on production demand is proposed. Taking a connector assembly line as an example, the cycle time and number of workers are calculated according to the production demand and working system, and the cycle time and smooth index are taken as the optimization objectives. Particle swarm optimization algorithm(PSO) is used for process allocation; then the assembly line is simulated and analyzed by using Witness, and the improvement scheme of splitting process and adding parallel units is proposed for the bottleneck station according to the actual situation of the factory. Finally, PSO is used to optimize the process allocation again, and the simulation results are obtained: after the bottleneck station is improved, the balance rate is increased by 18.2%, to 91.9%, and the assembly efficiency is increased by 33.1%, which meets the production demand, and proves the effectiveness of the optimization method of the assembly line and the improvement scheme of the bottleneck station.

【关键词】 装配线连接器粒子群算法(PSO)Witness仿真
【Key words】 assembly lineconnectorPSOWitness simulation
【基金】 中国制造2025四川行动资金项目(2018MY00355);四川省科技计划项目(2018GZ0119)
  • 【文献出处】 组合机床与自动化加工技术 ,Modular Machine Tool & Automatic Manufacturing Technique , 编辑部邮箱 ,2020年11期
  • 【分类号】TP18;TN05
  • 【被引频次】5
  • 【下载频次】181
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