运筹与管理 ›› 2017, Vol. 26 ›› Issue (1): 29-34.DOI: 10.12005/orms.2017.0005

• 理论分析与方法探讨 • 上一篇    下一篇

基于预判发货的网络零售商双模式批量配送研究

徐浩轩1,2, 张金隆1,2,3, 吴翔1,2   

  1. 1.华中科技大学管理学院,湖北武汉430074;
    2.华中科技大学现代管理信息研究中心,湖北武汉430074;
    3.武汉工商学院现代物流与商务湖北省协同创新中心,湖北武汉430065
  • 收稿日期:2015-07-01 出版日期:2017-01-20
  • 作者简介:徐浩轩(1989-),男,江西德安人,博士研究生,研究方向:物流与供应链管理;张金隆(1952-),男,江西九江人,教授(博导),研究方向:信息管理与电子商务;吴翔(1989-),男,湖北武汉人,博士,研究方向:定价与库存。
  • 基金资助:
    国家自然科学基金资助项目(71271095);国家自然科学基金重点资助项目(71531009);现代物流与商务湖北省协同创新中心项目(2011B201304)

A Dual-mode Batch Delivery Model Based onAnticipatory Shipping for Online Retailers

XU Hao-xuan1,2, ZHANG Jin-long1,2,3, WU Xiang1,2   

  1. 1.School of Management, Huazhong University of Science &
    Technology, Wuhan 430074, China;
    2.ModernInformation Management Center at HUST, Wuhan 430074, China;
    3. Collaborative Innovation Center for Modern Logistics and Business of Hubei, Wuhan Technology and Business University, Wuhan 430065, China
  • Received:2015-07-01 Online:2017-01-20

摘要: 基于预判发货的背景,考虑订单处理中心和配送站之间存在第三方物流和自营物流两种配送模式,研究了B2C网络零售商的动态批量配送问题。首先利用混合整数规划构建了一个三级供应链系统下的动态批量配送模型,接着采用网络流规划的技术重新建模,并在其基础上对最优解的性质进行了分析,进而设计了计算时间复杂度为O(T2)的精确动态规划求解算法。最后用算例实验验证了该算法的有效性和适用性。

关键词: 网络零售商, 预判发货, 批量配送, 双模式, 动态规划

Abstract: In an environment of anticipatory shipping, this paper deals with a dynamic batch delivery problem for a B2C online retailer, in which two shipping modes of common carrier and private carrier are between the order fulfillment center and the hub. A three-echelon dynamic batch delivery model is firstly developed through mixed integer programming. Then the model is reformulated through network flow representation. By analyzing the network flow model, several optimality properties are obtained. Based on these properties, we develop a dynamic programming algorithm with polynomial running time of O(T2). Finally, this study uses a numerical case to verify and validate the effectiveness and applicability of our method.

Key words: online retailer, anticipatory shipping, batch delivery, dual-mode, dynamic programming

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