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双渠道供应链多期多目标动态选址模型
引用本文:周健,牛林宁,钱建飞.双渠道供应链多期多目标动态选址模型[J].东北大学学报(自然科学版),2015,36(12):1800-1804.
作者姓名:周健  牛林宁  钱建飞
作者单位:(1. 同济大学 机械工程学院, 上海201804; 2. 东北大学 工商管理学院, 辽宁 沈阳110169)
基金项目:国家自然科学基金资助项目 (71071115).
摘    要:考虑双渠道供应链环境下的物流配送选址问题的特殊性,建立顾客需求随机环境下,考虑网络直销和中央仓库传统零售渠道相结合的中央仓库多期多目标动态选址模型,模型不仅考虑了最小化相关的运作成本,并且考虑了客户的最大满意度,给出了中央仓库在整个规划期内的打开、运营、关闭和再次打开的成本表达式,使用主要目标法将多目标转化为单目标模型.设计了基于顾客满意度的贪婪启发式求解算法.求解结果表明,该结果包含了以最小化物流成本为目标的选址模型的最优解,为双渠道供应链环境下的中央仓库选址提供了更加灵活并且全面的依据.

关 键 词:双渠道  需求随机  多期动态选址  客户满意度  贪婪启发式算法  

Multi-stage and Multi-objective Dynamic Location Model Under the Dual-channel Supply Chain
ZHOU Jian,NIU Lin-ning,QIAN Jian-fei.Multi-stage and Multi-objective Dynamic Location Model Under the Dual-channel Supply Chain[J].Journal of Northeastern University(Natural Science),2015,36(12):1800-1804.
Authors:ZHOU Jian  NIU Lin-ning  QIAN Jian-fei
Institution:1. School of Mechanical Engineering, Tongji University, Shanghai 201804, China; 2. School of Business Administration, Northeastern University, Shenyang 110169, China.
Abstract:Given the special characteristics of logistics distribution center location under dual-channel supply chain, a multi-stage and multi-objective dynamic location model was formulated, which combined network direct marketing and traditional retailing channel of central warehouses based on customers’ stochastic demands. This model not only considered minimizing the operation cost, but also prioritized maximizing customer satisfaction and designing the formulas of opening, operation, closing and reopening cost in the planning stage. A chief-objective approach was used to turn multiple objectives to single objectives, and a greedy heuristic algorithm was developed based on customer satisfaction. It was shown that the computation results include the optimal solution to minimizing logistics cost, thus offering a more flexible and comprehensive decision support for central warehouse location under the dual-channel supply chain.
Keywords:dual channel  stochastic demand  multi-stage dynamic location  customer satisfaction  greedy heuristic algorithm  
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