具有时变需求的配送型多级库存优化研究  

OPTIMIZATION OF MULTI-LEVEL INVENTORY OF DISTRIBUTION STRUCTURE BASED ON RANDOM TIME-VARYING DEMAND

作　　者：杜艳可[1] 段立江[1] 阳平华[1] 樊胜利[1] 

机构地区：[1]石家庄军械工程学院数学系,石家庄050003

出　　处：《数值计算与计算机应用》2009年第4期288-294,共7页Journal on Numerical Methods and Computer Applications

基　　金：军械工程学院基础部基金(JCB0909;JCB0901)资助项目

摘　　要：考虑到战术仓库的需求率具有时变性的特点,应用供应链管理的思想研究了一个战役仓库、多个战术仓库组成的配送型多级库存优化问题,建立了战役仓库采用等量订货策略,战术仓库分别采用等间隔、等量订货策略时的模型,并采用自适应遗传算法实现了模型的求解,实例验证了模型及算法的有效性.实例表明:战役仓库采用等量订货策略,战术仓库采用等间隔订货策略时总费用最低.Considering the time-varying demand of the tactical warehouses, the optimization of multi-level distribution-structured inventory being composed of one campaign storage and multiple tactical warehouses is investigated by supply chain management.Under the hypothesis that the ordering police of campaign storage is of equal quantity and tactical warehouses is of equal interval or equal quantity respectively, the optimization models are established and solved using adaptive genetic algorithm. An example verifies the effectiveness of the models and algorithm. The result indicates the total expense is the lowest when the ordering policy of campaign storage is of equal quantity and the tactical warehouses is of equal interval.

关 键 词：配送型多级库存 时变需求 自适应遗传算法 修补算子 

分 类 号：F224[经济管理—国民经济] F274