智能RGV的动态调度策略

Intelligent RGV Dynamic Scheduling Strategy

本文分别针对直线轨道RGV智能加工系统的一道工序和两道工序的物料加工作业情况,以工作时长内实际成料数、RGV作业效率、CNC作业效率多目标作为目标函数,给出RGV动态调度模型和算法。前者在各作业时间差距甚微的实验数据下,得到的智能加工系统整体效率较高且小车移动方式基本相似;后者得到不同工序的作业时间会影响不同工序CNC的分配数目和小车的移动的作业方式,数据仿真结果表明:建立的模型和求解算法切实可行。

In this paper, aiming at the material processing operations of one and two processes of the linear track RGV intelligent processing system, the dynamic scheduling model and algorithm of RGV are given by taking the actual number of finished products, RGV operating efficiency and CNC operating efficiency as the objective functions. In the former, the overall efficiency of the intelligent processing system is higher and the moving mode of the trolley is basically similar under the experimental data with little time difference between different operations. The latter obtained that the operation time of different processes would affect the number of CNC allocated in different processes and the operation mode of moving trolley. The data simulation results showed that the established model and algorithm were feasible.