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基于遗传算法的虚拟物流联合库存控制研究
引用本文:姜大立,龙运军,张武军.基于遗传算法的虚拟物流联合库存控制研究[J].后勤工程学院学报,2009,25(5):67-71.
作者姓名:姜大立  龙运军  张武军
作者单位:后勤工程学院,后勤信息工程系,重庆400016
基金项目:国家自然科学基金资助项目 
摘    要:针对随机需求条件下的虚拟物流库存控制问题进行了深入研究,提出了一种新的联合库存控制策略——(T,S,s)策略,建立了相应的库存成本模型,并构造遗传算法对模型进行求解。结果分析表明,所提出的(T,S,S)联合库存控制策略是有效的。

关 键 词:虚拟物流  联合库存控制  随机需求  遗传算法

Research on the Virtual Logistics Joint Inventory Control Based on Genetic Algorithm
JIANG Da-li,LONG Yun-jun,ZHANG Wu-jun.Research on the Virtual Logistics Joint Inventory Control Based on Genetic Algorithm[J].Journal of Logistical Engineering University,2009,25(5):67-71.
Authors:JIANG Da-li  LONG Yun-jun  ZHANG Wu-jun
Institution:( Dept. of Logistical Information Engineering, LEU, Chongqing 400016, China)
Abstract:The exhaustive research is made on the virtual logistics joint inventory control in stochastic demand condition. A new joint inventory control strategy--(T,S,s) strategy is proposed and its inventory cost is constructed, and a genetic algorithm is constructed to resolve the model. The results indicate the validity of the joint inventory control modes.
Keywords:virtual logistics  joint inventory control  stochastic demand  genetic algorithm
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