Simulation Optimization of AGV and Buffer Capacity in Intelligent Manufacturing System

Abstract

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 integer programming problem. Because the constraints cannot be expressed in closed form, it is difficult to obtain an accurate solution to the problem. Therefore, a heuristic simulation optimization method for the approximate solution is proposed. Firstly, the AGV car and the maximum buffer capacity configuration optimization has been described. Secondly, a system simulation model is established for equipment manufacturing 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 analyzed and compared through simulation. Analysis shows that the method proposed and the optimization results can provide decision support to deploy AGV car and buffer maximum capacity for enterprises.

Key words: AGV (automated guided vehicle) capacity, buffer allocation problem (BAP), simulation optimization

CHEN Guanzhong，CHEN Qingxin，MAO Ning，YU Ailin. Simulation Optimization of AGV and Buffer Capacity in Intelligent Manufacturing System[J]. Industrial Engineering Journal , 2016, 19(3): 77-84.

References

［1］张惠煜，康伟成，毛宁，等. 面向定制生产系统的缓冲区优化配置方法［J］. 工业工程，2014，17(5): 85-92.
ZHANG Huiyu，KANG Weicheng，MAO Ning，et al．Buffer optimization configuration method for customized manufacturing system［J］.Industrial Engineering Journal，2014，17(5): 85-92.
［2］徐云天，张力菠. 考虑系统波动因素的DBR瓶颈缓冲区容量设置［J］. 工业工程，2014，17(6): 24-29.
XU Yuntian，ZHANG Libo. Determination of constraint buffer size for drumbufferrope considering system′s fluctuation factor［J］.Industrial Engineering Journal，2014，17(6): 24-29.［3］SINGH A，SMITTH J M. Buffer allocation for an integer nonlinear network design problem［J］. Computers and Operations Research，1997， 24(5):453-472.
［4］HASKOSE A，KINGSMAN B G， WORTHINGTON D. Performance analysis of maketoorder manufacturing systems under different workload control regimes［J］.International Journal of Production Economics，2004，90(2):169-186.
［5］康伟成，俞爱林，黎展滔. 基于仿真的多级流水车间缓冲区配置优化［J］.机电工程技术，2013，42(11): 1-5.
KANG Weicheng，YU Ailin，LI Zhantao. Simulationbased buffer allocation optimization for multistage flowshop［J］. Mechanical and Electrical Engineering Technology，2013，42(11): 1-5.
［6］李翔，陈庆新，毛宁，等. 多级流水线车间缓存设置参数仿真优化［J］. 模具工业，2012，38(7): 1-6.
LI Xiang, CHEN Qingxin, MAO Ning，et al．Simulation optimization of buffer allocation parameters in multistage flow shop［J］. Mould Industry，2012，38(7): 1-6.
［7］李永先，胡祥培，熊英. 物流系统仿真研究综述［J］. 系统仿真学报，2007，19(7): 1411-1416.
LI Yongxian, HU Xiangpei, XIONG Ying. Overview on logistics system simulation［J］. Journal of System Simulation，2007，19(7): 1411-1416.
［8］杨堃. 基于eMPlant的生产物流系统仿真与应用［J］. 工业工程，2010，13(5): 95-100.
YANG Kun. eMPlantBased simulation and optimization of steel tube production process:a case study［J］. Industrial Engineering Journal，2010，13(5): 95-100.
［9］张远春，范秀敏，驹田邦久. 基于仿真优化的多种类型AGV数量配置优化方法［J］. 中国机械工程， 2011，22(14): 1680-1685.
ZHANG Yuanchun，FAN Xiumin，KOMADA Kunihisa. Multi types AGVs quantity configuration optimization based on simulation optimization［J］. China Mechanical Engineering，2011，22(14): 1680-1685.
［10］王国新，宁汝新，王爱民，等. 仿真优化在制造系统中的应用现状及发展趋势［J］. 系统仿真学报，2008，20(1): 1-6.
WANG Guoxin, NING Ruxin, WANG Aimin，et al. Present application situation and trends of simulation optimization in manufacturing system［J］. Journal of System Simulation，2008，20(1): 1-6.
［11］王国新，宁汝新，王爱民. 基于仿真的生产调度优化技术研究［J］. 计算机集成制造系统，2007，13(7): 1419-1427.
WANG Guoxin, NING Ruxin, WANG Aimin. Production optimal scheduling technology based on simulation［J］. Computer Integrated Manufacturing Systems，2007，13(7): 1419-1427.