计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (20): 32-38.

• 博士论坛 • 上一篇    下一篇

合作博弈下医药物流联盟节点决策模型及算法

胡正东1,2,李夏苗1,李利华3,王国明1   

  1. 1.中南大学 交通运输工程学院,长沙 410075
    2.南华大学 政治与公共管理学院,湖南 衡阳 421001
    3.长沙理工大学 交通运输工程学院,长沙 410004
  • 出版日期:2012-07-11 发布日期:2012-07-10

Model and algorithm for nodes decision of medicine logistics alliance under cooperative game

HU Zhengdong1,2, LI Xiamiao1, LI Lihua3, WANG Guoming1   

  1. 1.School of  Traffic and Transport Engineering, Central South University, Changsha 410075, China
    2.School of  Politics and Public Administration, University of South China, Hengyang, Hunan 421001, China
    3.School of  Traffic and Transport Engineering, Changsha University of Science and Technology, Changsha 410004, China
  • Online:2012-07-11 Published:2012-07-10

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。

关键词: 合作博弈, 物流联盟, 节点决策, 医药物流, 遗传算法

Abstract: 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.

Key words: cooperative game, logistics alliance, nodes decision, medicine logistics, genetic algorithm