Simulation Optimization of AGV and Buffer Capacity in Intelligent Manufacturing System
CHEN Guanzhong
CHEN Qingxin
MAO Ning
YU Ailin
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 .
Keywords：AGV ( automated guided vehicle ) capacitybuffer allocation problem ( BAP)simulation op-timization
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 77-84 )