考虑有限物流运输能力的智能车间AGV调度算法研究

以大批量生产模式智能车间为背景，针对单环布局下多自动导航小车 （AGV） 的调度问题进行研究。首先，对典型智能车间特点进行了分析，利用Plant Simulation仿真平台建立了基于实际生产场景的仿真模型；其次，提出了基于软时间窗的AGV调度规则和基于备选调度规则集的6个运行机制；最后，通过设计仿真实验对上述7个调度规则进行了分析和比较。实验结果表明，基于软时间窗AGV调度方法总体上表现更好。这为企业配置和调度AGV小车提供了决策支持。

AGV Scheduling Algorithm of Intelligent Workshop Considering Limited Logistics Transportation Capacity

Based on the mass production mode intelligent workshop, the scheduling problem of multi-AGV (automated guided vehicle) under single-loop layout is studied. Firstly, the characteristics of typical intelligent workshops are analyzed. Meanwhile, a simulation model based on actual production scenarios is established by the Plant Simulation platform. Secondly, the AGV scheduling rules based on soft time windows and six operating mechanisms based on alternative scheduling rule set are proposed. Finally, through the designed simulation experiment, the seven scheduling rules above are analyzed and compared. The experimental results show that the AGV scheduling method based on soft time window generally performs better, which provides decision support for enterprise configuring and scheduling AGV vehicles.