改进粒子群算法在供应链库存控制中的应用  

Inventory Control in Supply Chain Based on Modified Particle Swarm Optimization

作　　者：王广泽[1] 

机构地区：[1]哈尔滨理工大学,黑龙江哈尔滨150080

出　　处：《哈尔滨理工大学学报》2016年第5期90-95,共6页Journal of Harbin University of Science and Technology

基　　金：哈尔滨市科技攻关项目(2011AA1CG063)

摘　　要：针对季节性产品,设计了拥有多个供应商和零售商的二级供应链网络,其中,每个供应商都有对应的仓库且库存量是有限的.供应商和零售商的位置是已知的,零售商从供应商处购买不同的产品拥有相应的折扣.把零售商与供应商的距离设为欧氏距离.寻找最优的供应商,使库存总成本包括运输成本,库存持有成本和采购成本最小化.通过改进的粒子群优化算法和遗传算法分别对算例进行求解.最后对结果对比分析,证明了改进粒子群算法与遗传算法相比具有更好的效果.In view of the seasonal products, this paper designs a two-echelon supply chain network, which who has multiple suppliers and retailers, and each supplier has a corresponding warehouse and inventory is restricted. The locations of the supplier and the retailer are known, and retailer has corresponding discount when purchases different products from suppliers weset the distance of the retailers and suppliers to Euclidean distance. By search- ing the optimal supplier, we minimize the total inventory cost including transportation cost, inventory holding cost and purchasing cost. The example is solved by MPSO and GA respectively. Finally, comparison and analyzing the

关 键 词：二级供应链网络 季节性产品 欧氏距离 改进的粒子群优化算法 遗传算法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]