SIMULATION-BASED OPTIMIZATION OF MULTI-STAGE SUPPLY CHAIN SYSTEM USING SYSTEM DYNAMICS AND MATLAB PROGRAM

摘要：

　　Many papers have discussed supply chain management using System Dynamics.However, the optimization method used in System Dynamics usually appears as trial-and-error.That method is not appropriate for multi-objective programming.To solve the problem, this paper presents a hybrid simulation approach combining System Dynamics and Matlab program.We build a multi-stage supply chain model using System Dynamics.Six parameters in the model need to be optimized.After analyzing the DYNAMO language of System Dynamics, a corresponding Matlab program is implemented.Then Non-dominated Sorting Genetic Algorithm-Ⅱ method is used in Matlab program to find a Pareto front.Some sensitivity analyses are also conducted.This paper may provide references for simulation-based optimization, especially for hybrid simulation.

关键词： Simulation-based Optimization System Dynamics Matlab Supply Chain Management Multi-objective Programming NSGA-Ⅱ

作者: Hongsen Wang Suling Jia Zhihua Yan

作者单位: School of Economics and Management, Beihang University, Beijing 100191, China

会议类型: 国际会议

会议名称: The 12th International Conference on Industrial Management(第十二届工业管理国际会议)

会议地点: 成都

会议语种:英文

页码: 90-96

在线出版日期: 2014-09-03（万方平台首次上网日期，不代表论文的发表时间）