实践总结:菜鸟优化包裹配送路线

IF 1.1 4区 管理学 Q4 MANAGEMENT Informs Journal on Applied Analytics Pub Date : 2023-05-05 DOI:10.1287/inte.2023.1166
Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu
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引用次数: 1

摘要

菜鸟与成千上万的物流合作伙伴合作,提供最具成本效益和最具时间效率的配送服务。在这项工作中,我们开发了一个决策支持系统,为新创建的包裹选择由合作伙伴组成的良好履行路线。该系统的核心优化组件包括基于求解离线整数规划问题的比例算法和基于相关线性规划松弛的对偶值的在线算法。该公司已经实施了该系统,将大量包裹从中国运送到其他国家和地区,从而每年节省数百万美元。历史:本文被审稿。
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Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels
Cainiao collaborates with thousands of logistics partners to provide the most cost- and time-efficient delivery services. In this work, we develop a decision support system to select good fulfillment routes consisting of partners for newly created parcels. The system’s core optimization component contains a proportion algorithm based on solving an offline integer programming problem and an online algorithm based on dual values of the associated linear programming relaxation. The company has implemented the system to transport numerous parcels from China to other countries and regions, thus saving millions of dollars annually. History: This paper was refereed.
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