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Smart Parcel Consolidation at Cainiao

Author

Listed:
  • Yujie Chen

    (Cainiao Network, Hangzhou, Zhejiang 311100, China)

  • Biao Yuan

    (Data-Driven Management Decision-Making Laboratory, Shanghai Jiao Tong University, Shanghai 200030, China; Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Yinzhi Zhou

    (Cainiao Network, Hangzhou, Zhejiang 311100, China)

  • Yuwei Chen

    (Cainiao Network, Hangzhou, Zhejiang 311100, China)

  • Haoyuan Hu

    (Cainiao Network, Hangzhou, Zhejiang 311100, China)

Abstract

Cainiao proposes a novel business model that consolidates parcels ordered by the same consumer from one or more merchants during the fulfillment process. The objective is to increase delivery speed without incurring additional costs for merchants and consumers. To support this business model, we develop three analytics methods: (1) a two-phase online optimization algorithm to determine which of a consumer’s parcels constitute consolidated parcels and to select the shipping methods for the consolidated parcels that maximize the gains while satisfying the constraints (e.g., the 10-day on-time delivery rate of all consumer parcels created within a specified time should reach a target value), (2) a statistical method to calculate delivery time distributions to obtain on-time delivery rates within different days, and (3) a simulation-based optimization method to guide managers in setting appropriate target values for the constraints. In addition, we prove that the expected optimality gap and constraint violation of the online optimization algorithm have sublinear bounds, and we validate its effectiveness and robustness by testing instances generated from real-world data. Since 2020, Cainiao has utilized the system to consolidate numerous parcels shipped from China to more than 50 countries and regions, thus saving tens of millions of dollars annually and reducing delivery time by at least 50%.

Suggested Citation

  • Yujie Chen & Biao Yuan & Yinzhi Zhou & Yuwei Chen & Haoyuan Hu, 2024. "Smart Parcel Consolidation at Cainiao," Interfaces, INFORMS, vol. 54(5), pages 417-430, September.
  • Handle: RePEc:inm:orinte:v:54:y:2024:i:5:p:417-430
    DOI: 10.1287/inte.2024.0124
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    References listed on IDEAS

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    1. Arash Asadpour & Xuan Wang & Jiawei Zhang, 2020. "Online Resource Allocation with Limited Flexibility," Management Science, INFORMS, vol. 66(2), pages 642-666, February.
    2. Lap Mui Ann Chan & Ana Muriel & Zuo-Jun Shen & David Simchi-Levi, 2002. "On the Effectiveness of Zero-Inventory-Ordering Policies for the Economic Lot-Sizing Model with a Class of Piecewise Linear Cost Structures," Operations Research, INFORMS, vol. 50(6), pages 1058-1067, December.
    3. Stefanus Jasin, 2015. "Performance of an LP-Based Control for Revenue Management with Unknown Demand Parameters," Operations Research, INFORMS, vol. 63(4), pages 909-915, August.
    4. Zhang, Yuankai & Sun, Lijun & Hu, Xiangpei & Zhao, Chen, 2019. "Order consolidation for the last-mile split delivery in online retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 309-327.
    5. James K. Higginson & James H. Bookbinder, 1995. "Markovian Decision Processes in Shipment Consolidation," Transportation Science, INFORMS, vol. 29(3), pages 242-255, August.
    6. Feng Li & Zhou Xu & Zhi-Long Chen, 2020. "Production and Transportation Integration for Commit-to-Delivery Mode with General Shipping Costs," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 1012-1029, October.
    7. Shipra Agrawal & Zizhuo Wang & Yinyu Ye, 2014. "A Dynamic Near-Optimal Algorithm for Online Linear Programming," Operations Research, INFORMS, vol. 62(4), pages 876-890, August.
    8. Chung-Yee Lee & Sila Çetinkaya & Wikrom Jaruphongsa, 2003. "A Dynamic Model for Inventory Lot Sizing and Outbound Shipment Scheduling at a Third-Party Warehouse," Operations Research, INFORMS, vol. 51(5), pages 735-747, October.
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