考虑供应商选择的选址—库存—路径的联合优化  

Research on joint optimization for location-inventory-routing with supplier selection

作　　者：张得志[1] 潘立红 李双艳[2] Zhang Dezhi;Pan Lihong;Li Shuangyan(School of Traffic & Transportation Engineering,Central South University,Changsha 410075,China;College of Logistics & Transportation,Central South University of Forestry & Technology,Changsha 410004,China)

机构地区：[1]中南大学交通运输工程学院,长沙410075 [2]中南林业科技大学物流与运输学院,长沙410004

出　　处：《计算机应用研究》2019年第8期2338-2341,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(71672193);湖南省优秀青年基金资助项目(15B261)

摘　　要：针对装配型制造企业供应链集成优化问题,建立了随机需求情形下整合供应商选择和各层级之间运输方式选择的多层级选址—库存模型。该模型通过对供应商的选择、装配厂和分销中心的选址、相邻两层级之间的分配服务关系及运输方式的确定,实现整体供应链网络成本最小化。为求解此混合整数非线性规划模型,设计了一种矩阵编码的改进自适应遗传算法。仿真实验表明,该算法的解的寻优能力明显优于标准遗传算法,得出了供应链总成本与装配厂的最大提前期存在一定规律性的结论。Aiming at the integrated optimization of supply chain in assembly manufacturing enterprises, this paper proposed a multi-stage location inventory model to integrate supplier selection and transportation mode among different levels under stochastic demand. The model selected the suppliers, the location of the assembly plants and the distribution centers, determined the distribution service relationship and transportation mode among facilities, so as to minimize the cost of the whole supply chain network. This paper designed an improved adaptive genetic algorithm based on matrix coding to solve the proposed mixed integer nonlinear programming model. The simulation results show that the algorithm is superior to the standard genetic algorithm in the optimization ability of the solution and draw a conclusion that there is some regularity between the total cost of supply chain and the maximum lead time of plants.

关 键 词：供应商选择 选址-库存 运输方式选择 矩阵编码 改进遗传算法 

分 类 号：F253.4[经济管理—国民经济]