智能制造系统AGV小车及缓冲区容量仿真优化  

Simulation Optimization of AGV and Buffer Capacity in Intelligent Manufacturing System

作　　者：陈冠中[1] 陈庆新[1] 毛宁[1] 俞爱林[1] 

机构地区：[1]广东工业大学广东省计算机集成制造系统重点实验室,广东广州510006

出　　处：《工业工程》2016年第3期77-84,共8页Industrial Engineering Journal

基　　金：国家云计算示范工程资助项目(发改办高技[2011])2448号;国家企业互联网服务支撑软件工程技术研究中心计划资助项目(2012FU125Q09);广东省自然科学基金资助项目(2014A030310313)

摘　　要：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。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 .

关 键 词：AGV(automated GUIDED vehicle)容量 缓存设置 仿真优化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]