智能RGV的动态调度策略

Dynamic scheduling strategy of intelligent RGV

本文研究直行式轨道自动引导车RGV的动态调度策略,在一个班次8小时内按照规定的指令完成上下料及清洗物料等作业任务,力求达到最小化的工作时间,即为RGV系统调度问题的最优方案。首先我们建立了RGV动态调度模型,选择规则调度算法为求解算法。然后用给定的数据,对模型的实用性和算法的有效性进行检验。

This paper studies the dynamic scheduling strategy of RGV,which can complete the loading and unloading and material cleaning tasks according to the prescribed instructions within 8 hours of a shift,so as to minimize the working time,which is the optimal solution of RGV system scheduling problem.Firstly,we establish the RGV dynamic scheduling model and select the rule scheduling algorithm as the solution algorithm.Then,the practicability of the model and the effectiveness of the algorithm are tested with the given data.