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Transshipment through crossdocks with inventory and time windows

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  • Andrew Lim
  • Zhaowei Miao
  • Brian Rodrigues
  • Zhou Xu

Abstract

A major challenge in making supply meet demand is to coordinate transshipments across the supply chain to reduce costs and increase service levels in the face of demand fluctuations, short lead times, warehouse limitations, and transportation and inventory costs. In particular, transshipment through crossdocks, where just‐in‐time objectives prevail, requires precise scheduling between suppliers, crossdocks, and customers. In this work, we study the transshipment problem with supplier and customer time windows where flow is constrained by transportation schedules and warehouse capacities. Transportation is provided by fixed or flexible schedules and lot‐sizing is dealt with through multiple shipments. We develop polynomial‐time algorithms or, otherwise, provide the complexity of the problems studied. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005

Suggested Citation

  • Andrew Lim & Zhaowei Miao & Brian Rodrigues & Zhou Xu, 2005. "Transshipment through crossdocks with inventory and time windows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(8), pages 724-733, December.
    • Handle: RePEc:wly:navres:v:52:y:2005:i:8:p:724-733
    DOI: 10.1002/nav.20113
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    References listed on IDEAS

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    Cited by:

    1. Zhaowei Miao & Feng Yang & Ke Fu & Dongsheng Xu, 2012. "Transshipment service through crossdocks with both soft and hard time windows," Annals of Operations Research, Springer, vol. 192(1), pages 21-47, January.
    2. G. Guastaroba & M. G. Speranza & D. Vigo, 2016. "Intermediate Facilities in Freight Transportation Planning: A Survey," Transportation Science, INFORMS, vol. 50(3), pages 763-789, August.
    3. C. Y. Lam, 2021. "Optimizing logistics routings in a network perspective of supply and demand nodes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 357-377, March.
    4. Hanbazazah, Abdulkader S. & Abril, Luis & Erkoc, Murat & Shaikh, Nazrul, 2019. "Freight consolidation with divisible shipments, delivery time windows, and piecewise transportation costs," European Journal of Operational Research, Elsevier, vol. 276(1), pages 187-201.
    5. Naderi, Siamak & Kilic, Kemal & Dasci, Abdullah, 2020. "A deterministic model for the transshipment problem of a fast fashion retailer under capacity constraints," International Journal of Production Economics, Elsevier, vol. 227(C).
    6. Archetti, Claudia & Peirano, Lorenzo, 2020. "Air intermodal freight transportation: The freight forwarder service problem," Omega, Elsevier, vol. 94(C).
    7. İlker Küçükoğlu & Nursel Öztürk, 2017. "Two-stage optimisation method for material flow and allocation management in cross-docking networks," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 410-429, January.

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