基于网格自适应直接搜索和仿真的串行供应链控制策略优化  

Optimization for serial supply chain's control strategy based on mesh adaptive direct search and simulation

作　　者：薛瀚 王永明[1] 赵帅[1] 

机构地区：[1]昆明理工大学管理与经济学院,云南昆明650093

出　　处：《计算机集成制造系统》2016年第5期1339-1346,共8页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(71262029;71362030)~~

摘　　要：针对存在多类随机需求及允许订单拆分的多级串行供应链系统,对包括生产策略和配给策略的控制策略进行研究,建立了基于(R,T)库存策略的控制策略优化模型。鉴于求解的复杂性,提出一种基于网格自适应直接搜索与仿真的集成求解方法。集成求解方法中,利用Arena构建的串行供应链系统进行离散事件仿真并返回系统绩效指标;使用MATLAB实现的网络自适应直接搜索,对控制策略优化模型进行优化求解。实验结果表明,与遗传算法相比,所提集成求解方法能有效优化串行供应链系统的控制策略、降低平均总成本,从而验证了该方法的有效性。Aiming at the multi-echelon serial supply chain under stochastic multiple demand classes and order split- ting, an optimization model for serial supply chain＇s control strategy based on （R, T） inventory policy was pro- posed. For the complexity of solution, an integrated solution method based on Mesh Adaptive Direct Search （MADS） and simulation was developed. In this method, the serial supply chain system constructed by Arena was responsible for conducting the discrete-event simulation and evaluating the performance of system; MADS imple- mented by MATLAB was employed to solve the control strategy optimization model. Experimental result showed that the proposed integrated solution method could effectively optimize the control strategy of serial production sys- tem and reduce the average total cost by comparing with the genetic algorithm, and its validity was also verified.

关 键 词：多级串行供应链 订单拆分 (R T)库存策略 网格自适应直接搜索 仿真 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] F273[自动化与计算机技术—计算机科学与技术]