工业工程2016，Vol.19Issue(3)：77-84,8.DOI:10.3969/j.issn.1007-7375.2016.03.013
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
摘要
Abstract
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Key words
AGV ( automated guided vehicle ) capacity/buffer allocation problem ( BAP)/simulation op-timization分类
信息技术与安全科学引用本文复制引用
陈冠中,陈庆新,毛宁,俞爱林..智能制造系统 AGV 小车及缓冲区容量仿真优化[J].工业工程,2016,19(3):77-84,8.基金项目
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 （）
