智能制造系统 AGV 小车及缓冲区容量仿真优化

摘要

The maximum capacity configuration optimization of Automated Guided Vehicle ( AGV ) and buffer in Intelligent manufacturing system with material handling system ( MHS) is a typical nonlinear inte-ger programming problem .Because the constraints cannot be expressed in closed form , it is difficult to ob-tain an accurate solution to the problem .Therefore , a heuristic simulation optimization method for the ap-proximate solution is proposed .Firstly, the AGV car and the maximum buffer capacity configuration opti-mization has been described .Secondly , a system simulation model is established for equipment manufac-turing system with MHS, based on the Em-plant platform.And then, based on different optimization goals, three heuristic simulation optimization methods are presented .Finally, the three methods are ana-lyzed and compared through simulation .Analysis shows that the method proposed and the optimization re-sults can provide decision support to deploy AGV car and buffer maximum capacity for enterprises .%具有MHS（ material handling system ）的智能制造系统AGV（ automated guided vehicle ）小车及缓冲区最大容量配置优化，属于典型的非线性整数规划问题。由于约束无法用封闭形式表达，因此较难获得问题的精确解。为此，本文提出了仿真优化的方法以获得问题的近似解。首先，对AGV小车及缓冲区最大容量配置优化问题进行了描述；其次，基于Em-plant平台建立了具有MHS的智能制造系统仿真模型；然后，基于不同的优化目标，提出了3种仿真优化方法；最后，通过仿真试验对上述3种方法进行了分析与比较。分析表明，本文提出的方法及优化结果，可为企业配置AGV小车及缓冲区最大容量提供决策支持。