Optimization of AGV Dispatching Based on Petri Net Towards Smart Manufacturing System

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI:10.1109/IEEM50564.2021.9673011

Shangjia Xiang, Y. Lv

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引用次数: 1

Abstract

As the key technique of smart manufacturing, Automated Guided Vehicles(AGV) are widely adopted in automatic material handling systems. How to dispatch AGVs for material distribution so as to support better production has always been a problem for smart factories as there might be different complex constraints in a real practical manufacturing environment. Petri Nets as a powerful system modeling tool is capable to demonstrate the discrete states/events in real systems. Therefore, a Petri net model is established in this paper to describe the workshop production process with AGVs for material delivery, and Platform Independent Petri Net Editor(PIPE) is used to analyze the resource changes via simulation analysis. The invariant analysis is adopted to represent structure characteristics, combined with the simulation result from PIPE, resource utilization can be obtained and a reconfiguration of AGVs will also be suggested. Finally, based on improved AGV configuration the dispatching scheduling is provided.

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面向智能制造系统的Petri网AGV调度优化

自动导引车(AGV)作为智能制造的关键技术，被广泛应用于自动化物料搬运系统中。如何调度agv进行物料配送，以支持更好的生产，一直是智能工厂面临的一个问题，因为在真实的实际制造环境中可能存在不同的复杂约束。Petri网作为一种功能强大的系统建模工具，能够演示实际系统中的离散状态/事件。因此，本文建立了一个Petri网模型来描述agv进行物料输送的车间生产过程，并使用平台独立Petri网编辑器(PIPE)通过仿真分析对资源变化进行分析。采用不变量分析来表示结构特征，结合PIPE的仿真结果，得出资源利用率，并提出agv的重构方案。最后，给出了基于改进AGV配置的调度调度方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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