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中国管理科学 ›› 2022, Vol. 30 ›› Issue (7): 201-209.doi: 10.16381/j.cnki.issn1003-207x.2019.0555

• 论文 • 上一篇    下一篇

跨境电商企业海外仓选址多目标优化研究

胡玉真, 李倩倩, 江山   

  1. 哈尔滨工程大学经济管理学院, 黑龙江 哈尔滨150001
  • 收稿日期:2019-04-20 修回日期:2019-08-12 出版日期:2022-08-05 发布日期:2022-08-05
  • 通讯作者: 胡玉真(1987-),女(汉族),山东菏泽人,哈尔滨工程大学经济管理学院,副教授,博士,研究方向:干扰管理、调度优化,Email:yuzhenhu@hrbeu.edu.cn. E-mail:yuzhenhu@hrbeu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(71801061);教育部重大社科项目(17JZD026);黑龙江省哲学社会科学基金资助项目(18GLC208);黑龙江省自然科学基金资助项目(LH2021G003)

Multi-Objective Optimization of Overseas Warehouse Location for Cross-border E-commerce Enterprises

HU Yu-zhen, LI Qian-qian, JIANG Shan   

  1. School of Economics and management, Harbin Engineering University,Harbin 150001, China
  • Received:2019-04-20 Revised:2019-08-12 Online:2022-08-05 Published:2022-08-05
  • Contact: 胡玉真 E-mail:yuzhenhu@hrbeu.edu.cn

摘要: 海外仓作为一带一路战略环境下的一种新型跨境物流模式,具有运输时间短、退换货快等特点。本文在跨境电商的背景下,综合考虑建仓成本、运输费用、运输时间和税费等因素,提出了海外仓选址多目标优化模型,随后基于分层序列法设计了二分搜索-最小费用流算法对该模型进行求解,并证明该算法在多项式时间内可以得到最优解,最后通过算例证实了该模型和算法的有效性和实用性,这为跨境电商海外仓选址提供了理论依据和决策支持。

关键词: 海外仓选址;多目标规划;分层序列法;二分搜索;一带一路

Abstract: As a new cross-border logistic mode under the strategic environment of the Belt and Road, overseas warehouses have the characteristics of short transportation time and fast return and exchange.In the context of cross-border e-commerce, a multi-objective optimization model is present for overseas warehouse location,considering the factors of warehouse construction cost, transportation cost, transportation time, tariff and so on.Under the conditions of giving the supply point and demand point,the model figures out a set of overseas warehouse location plan and commodity transportation plan to obtain the optimal value of the three objectives which are listed via their priorities. The first objective is to minimize the maximal warehouse construction cost. The second is to minimize the sum of transportation costs, taxes, and customer time penalty costs incurred during transportation. The last is to minimize the number of overseas warehouses. Afterward, based on the priority of the objectives in the model, a binary search-minimum cost flow algorithm is designed based on the stratified sequencing method to solve the model, and it is proved that the algorithm can achieve the optimal solution with polynomial time. Finally, an example is given to prove the feasibility and practicability of the model and algorithm. The results show that the Binary search-Minimum cost flow algorithm can be used to solve the multi-objective problem to obtain a better location scheme. This provides theoretical basis and decision support for the selection of cross-border e-commerce overseas warehouses.

Key words: overseas warehouse location; multi-objective optimization; stratified sequencing method;binary search; the Belt and Road

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