面向智能生产车间的自动引导车系统仿真分析

Simulation and Analysis of Auto Guided Vehicle System in an Intelligent Production Workshop

摘要: 针对智能生产车间基于AGV的物料搬运系统的建立，确定AGV配置数量以及组合考虑缓存区容量、设施布局等问题至关重要。这类组合问题属于NP-Hard问题，往往难以求出精确解。因此本文提出了仿真优化的方法以获得问题的近优解。首先，对车间生产流程及AGV配置优化问题进行了描述；其次，基于Plant-Simulation仿真平台建立了具有MHS的智能生产车间的仿真模型；最后，通过仿真实验并对仿真结果的分析，总结了MHS最优配置方案，可为该智能车间设备配置、调度策略的制定提供决策支持。

Abstract: For the establishment of AGV-based material handle system in intelligent production workshops, it is important to determine the number of AGV configurations and the combination of buffer capacity and facility layout. This type of combination problem is an NP-Hard problem, and it is often difficult to find an exact solution. Therefore, this paper proposes a simulation optimization method to obtain a near-optimal solution to the problem. Firstly, the workshop production process and AGV configuration optimization problem are described. Secondly, based on the Plant-Simulation simulation platform, the simulation model of the intelligent production workshop with MHS is es-tablished. Finally, through the simulation experiment and the analysis of the simulation results, the MHS is summarized. The optimal configuration scheme can provide decision support for the intelligent workshop equipment configuration and scheduling strategy formulation.