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A Revenue Management Slot Allocation Model with Prioritization for the Liner Shipping Industry

In: Operations Research Proceedings 2010

Author

Listed:
  • Sebastian Zurheide

    (Hamburg University of Technology)

  • Kathrin Fischer

    (Hamburg University of Technology)

Abstract

The main characteristics for the successful use of revenue management are present in the liner shipping industry. Hence, revenue management methods can be applied to obtain the best container acceptance strategy. The segmentation which is normally used is based on the different container types, routes and customers. The literature shows that reliability and delivery speed are important factors for customers, and that containers with different commodities often have different priority. Therefore, the optimization model which is developed in this work creates booking limits for standard segmentations and incorporates an additional segmentation approach. These new segments are express and standard containers: The express segment is intended for urgent cargo and gets priority on the next ship. A container in the standard segment only needs to be shipped until a fixed delivery date and can be postponed. This new segmentation approach generates advantages for both parties involved.

Suggested Citation

  • Sebastian Zurheide & Kathrin Fischer, 2011. "A Revenue Management Slot Allocation Model with Prioritization for the Liner Shipping Industry," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 143-148, Springer.
    • Handle: RePEc:spr:oprchp:978-3-642-20009-0_23
    DOI: 10.1007/978-3-642-20009-0_23
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    Cited by:

    1. Liang, Jinpeng & Ma, Zhongyuan & Wang, Shuang & Liu, Haitao & Tan, Zhijia, 2024. "Dynamic container slot allocation with empty container repositioning under stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    2. Christensen, Jonas & Pacino, Dario, 2017. "A matheuristic for the Cargo Mix Problem with Block Stowage," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 151-171.

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