基于“一单多品”的跨境电商多地多仓发货策略

赵汝雪; 孙小光; 屈挺; 潘扬华; 丁立强

doi:10.3969/j.issn.1007-7375.240407

工业工程 ›› 2026, Vol. 29 ›› Issue (3) : 39 -48. DOI: 10.3969/j.issn.1007-7375.240407

系统建模与优化

基于“一单多品”的跨境电商多地多仓发货策略

赵汝雪 ¹^,² ,
孙小光 ¹^,²^,³ ,
屈挺 ¹^,²^,³ ,
潘扬华 ¹^,³ ,
丁立强 ⁴

作者信息 +

An Order Allocation Strategy for Cross-Border E-Commerce with Multi-Warehouse Systems Based on Multi-Item Orders

Ruxue Zhao ¹^,² ,
Xiaoguang Sun ¹^,²^,³ ,
Ting Qu ¹^,²^,³ ,
Yanghua Pan ¹^,³ ,
Liqiang Ding ⁴

Author information +

文章历史 +

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摘要

针对跨境电商“一单多品”履约过程中的拆单问题，本文提出了一种考虑客户满意度的优化策略，旨在降低重复配送导致的物流成本和提升配送的时效性。通过数值分析，基于订单就近分配和订单灵活分配两种策略研究跨境电商多品订单的发货问题，以最小化订单履约总成本和最大化客户满意度为目标建立优化模型，利用 NSGA-II 算法和 INSGA-II 算法对仿真算例进行求解。实验结果表明：1) 自适应的 INSGA-II 算法相较于 NSGA-II 算法能够显著提升求解效率；2) 相较于订单就近分配策略，订单灵活分配策略通过适度增加运营成本，换取了服务质量的大幅提升，展现出更优的综合效益；3) 敏感性分析证实了灵活分配策略在不同参数条件下均能保持稳定性能。研究结果为跨境电商企业优化拆单履约问题提供了有效的决策支持。

Abstract

To address the order-splitting problem for cross-border e-commerce (CBEC) in multi-item orders, this study proposes an optimization strategy incorporating customer satisfaction to reduce logistics costs from repeated deliveries and improve delivery timeliness. Through numerical analysis, two strategies are examined for multi-item orders: distance-priority allocation and flexible allocation. Optimization models are developed to minimize total fulfillment costs and maximize customer satisfaction, solved by NSGA-II and INSGA-II. Experimental results show that: 1) the adaptive INSGA-II significantly improves solution efficiency compared with NSGA-II; 2) compared with the distance-priority allocation strategy, the flexible allocation strategy enhances service quality with moderate cost increase, yielding superior overall benefits; and 3) sensitivity analysis verifies the robustness of flexible allocation under varying parameter settings. These findings provide effective insights for CBEC in order-splitting optimization.

关键词

跨境电商 / 多仓协同发货 / 订单拆分策略 / 非支配排序遗传算法 (NSGA)

Key words

cross-border e-commerce / multi-warehouse allocation / order-splitting strategy / non-dominated sorting genetic algorithm (NSGA)

引用本文

引用格式 ▾

赵汝雪,孙小光,屈挺,潘扬华,丁立强. 基于“一单多品”的跨境电商多地多仓发货策略[J]. 工业工程, 2026, 29(3): 39-48 DOI:10.3969/j.issn.1007-7375.240407

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参考文献

原文顺序 | 出版日期 | 本文引用

[1]	Chen J P, Tournois N, Fu Q M. Price and its forecasting of Chinese cross-border E-commerce[J]. Journal of Business & Industrial Marketing, 2020, 35(10): 1605-1618.

[2]	Giuffrida M, Mangiaracina R, Perego A, et al. Cross-border B2C e-commerce to China: An evaluation of different logistics solutions under uncertainty[J]. International Journal of Physical Distribution & Logistics Management, 2020, 50(3): 355-378.

[3]	Zhang X M, Zha X Y, Dan B, et al. Logistics mode selection and information sharing in a cross-border e-commerce supply chain with competition[J]. European Journal of Operational Research, 2024, 314(1): 136-151.

[4]	Hsiao Y H, Chen M C, Liao W C. Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis[J]. Telematics and Informatics, 2017, 34(4): 284-302.

[5]	牟进进, 王淑云 . 跨境电商供应链物流增值服务的优化决策[J/OL]. 中国管理科学, 1-13[2025-03-27]. https://doi.org/10.16381/j.cnki.issn1003-207x.2022.0715.

[6]	Mou Jinjin, Wang Shuyun. Optimization decision of cross-border e-commerce supply chain logistics value-added services[J/OL]. Chinese Journal of Management Science, 1-13[2025-03-27]. https://doi.org/10.16381/j.cnki.issn1003-207x.2022.0715.

[7]	Zhang Y, Yuan Y F, Su J F. Systematic investigation of the logistics service quality of cross-border e-commerce: a mixed-methods perspective[J]. Asia Pacific Journal of Marketing and Logistics, 2024, 36(3): 549-564.

[8]	夏晓怡. 基于在线评论的跨境电商物流服务质量评价体系的构建研究[J]. 中国商论, 2024(10): 89-92.

[9]	Xia Xiaoyi. Research on the construction of cross-border e-commerce logistics service quality evaluation system based on online reviews[J]. China Journal of Commerce, 2024(10): 89-92.

[10]	许瑞, 丁子千, 肖巍. 考虑商品间适应度的在线零售商分仓选品优化研究[J/OL]. 控制与决策, 1-10 [2025-03-27]. https://doi.org/10.13195/j.kzyjc.2024.1067.

[11]	Xu Rui, Ding Ziqian, Xiao Wei. Research on the optimization of product selection for online retailers' warehouse distribution considering the fitness between products [J/OL]. Control and Decision, 1-10 [2025-03-27]. https://doi.org/10.13195/j.kzyjc.2024.1067.

[12]	钟丽文, 姜同强. 基于改进贪婪关联算法的在线零售商优化拆单问题[J]. 工业工程, 2021, 24(2): 134-140.

[13]	Zhong Liwen, Jiang Tongqiang. Optimization of online retailer order removal problem based on improved greedy correlation algorithm[J]. Industrial Engineering Journal, 2021, 24(2): 134-140.

[14]	朱姗, 张博, 胡祥培. “一地多仓”型网上超市多品订单的拆分优化决策方法[J]. 中国管理科学, 2024, 32(4): 250-260.

[15]	Zhu Shan, Zhang Bo, Hu Xiangpei. Decision method of split optimization for multi-product orders of "one place multi-warehouse" type online supermarket [J]. Chinese Journal of Management Science, 2024, 32(4): 250-260.

[16]	黄敏芳, 田明衡, 张漪, 等 . 大型网上超市多品订单多仓协同分拣优化研究[J]. 工程管理科技前沿, 2024, 43(5): 33-40.

[17]	Huang Minfang, Tian Mingheng, Zhang Yi, et al. Research on multi-product order multi-warehouse collaborative sorting optimization in large online supermarket[J]. Frontiers of Science and Technology of Engineering Management, 2024, 43(5): 33-40.

[18]	Zhang Y, Lin W H, Huang M, et al. Multi-warehouse package consolidation for split orders in online retailing[J]. European Journal of Operational Research, 2021, 289(3): 1040-1055.

[19]	郭琼. “一地多仓型”网上超市拆分订单合并运输优化研究[D]. 北京: 华北电力大学, 2020.

[20]	邵蕴芝, 董增寿, 袁媛. 考虑客户满意度的双目标车辆路径优化[J]. 物流工程与管理, 2024, 46(5): 76-81.

[21]	Shao Yunzhi, Dong Zengshou, Yuan Yuan. Bi-objective vehicle routing optimization considering customer satisfaction[J]. Logistics Engineering and Management, 2024, 46(5): 76-81.

[22]	Roshanaei V, Luong C, Aleman D M, et al. Propagating logic-based benders′ decomposition approaches for distributed operating room scheduling[J]. European Journal of Operational Research, 2017, 257(2): 439-455.

[23]	Zhang Y K, Huang M F, Hu X P, et al. Package consolidation approach to the split-order fulfillment problem of online supermarkets[J]. Journal of the Operational Research Society, 2018, 69(1): 127-141.

[24]	王建强, 杨飞, 宗荣, 等 . 基于计算机视觉与 NSGA 算法的施工场地动态布置研究[J]. 建筑经济, 2025, 46(5): 67-75.

[25]	Wang Jianqiang, Yang Fei, Zong Rong, et al. Research on dynamic construction site layout based on computer vision and NSGA algorithm[J]. Construction Economy, 2025, 46(5): 67-75.