摘要
为解决城市轨道车辆生产线存在的生产效率不高与稳定性差等问题,提出了一种基于有向加权网络的城市轨道车辆工艺路线优化方法。该方法首先利用有向加权网络理论构建车辆生产线的生产网络模型,然后以生产线可靠性与制造成本为目标,建立轨道车辆工艺路线的多目标优化模型,并基于粒子群算法得到最优工艺路线生成算法,最后以某轨道列车生产线为例进行了验证,结果表明,该方法能显著降低生产线的生产成本,提高生产线的生产效率与稳定性。
The process route optimization of rail vehicle production is a complicated problem. It proposes a direct- ed weighted network to establish the complex processing relationships among working stations, takes the manufacturing cost and the reliability of the rail vehicle production route as object. In order to improve the reliability of production route, it builds an optimization model combining the reliability of the production route and manufacturing cost, designs particle swarm algorithm for the optimal process route generation. The results prove the effective of the optimization method.
出处
《机械设计与制造工程》
2015年第4期70-76,共7页
Machine Design and Manufacturing Engineering
关键词
网络生产线
有向加权网络
稳定性
生产成本
粒子群算法
production route optimization
directed weighted network
particle swarm algorithm
reliability
manufacturing cost