东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (12): 1800-1804.DOI: 10.12068/j.issn.1005-3026.2015.12.028

• 管理科学 • 上一篇    

双渠道供应链多期多目标动态选址模型

周健1， 牛林宁1， 钱建飞2   

  1. (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)
  • 收稿日期:2014-04-22 修回日期:2014-04-22 出版日期:2015-12-15 发布日期:2015-12-07
  • 通讯作者: 周健
  • 作者简介:周健(1975-)，男，浙江盐城人，同济大学副教授，博士.
  • 基金资助:
    国家自然科学基金资助项目 (71071115).

Multi-stage and Multi-objective Dynamic Location Model Under the Dual-channel Supply Chain

ZHOU Jian1， NIU Lin-ning1， QIAN Jian-fei2   

  1. 1. School of Mechanical Engineering， Tongji University， Shanghai 201804， China; 2. School of Business Administration， Northeastern University， Shenyang 110169， China.
  • Received:2014-04-22 Revised:2014-04-22 Online:2015-12-15 Published:2015-12-07
  • Contact: ZHOU Jian
  • About author:-
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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

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.

Key words: dual channel, stochastic demand, multi-stage dynamic location, customer satisfaction, greedy heuristic algorithm

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