摘要
以合作博弈为基础,分析医药物流网络需求特征,描述了一个包含药品生产企业、第三方物流企业、物流中心、销售终端在内的"三方四层"医药物流联盟结构体系,建立了合作博弈模式下的医药物流网络节点决策的双层规划模型,上层规划以联盟效益最大化为目标,下层规划考虑不同的情景状态,建立了合作博弈下的Shapley值为分配模式,并设计了问题求解的混合遗传算法。算例测试结果表明,该方法与算法具有较强的实践可操作性,可以作为物流节点选址决策的参考方法。
The demand character of medicine logistics is analyzed and the ＂tripartite four-story＂ medical logistics alliance structural system is described, which includes medicine production enterprises, third-party logistics enterprises, logistics centers and sales terminals. The bi-level programming decision model for the location of medicine logistics network node under cooperative game is established, in which the object of upper-level programming is maximum alliance benefit, and the distribution model of Shapley value under cooperative game is established in the lower-level programming considering different scenarios state. And then the solving model of hybrid genetic algorithm is designed. It is showed by a tested example that the operability of practice of solution result is more effective, and the method can be looked as a reference method for decision and location of logistics node.
出处
《计算机工程与应用》
CSCD
2012年第20期32-38,共7页
Computer Engineering and Applications
基金
湖南省科技计划项目(No.2010FJ6016)
湖南省教育厅计划项目(No.11C1076)
关键词
合作博弈
物流联盟
节点决策
医药物流
遗传算法
cooperative game
logistics alliance
nodes decision
medicine logistics
genetic algorithm
