IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-49550-5_6.html
   My bibliography  Save this book chapter

An optimization model for storage yard management in transshipment hubs

In: Container Terminals and Cargo Systems

Author

Listed:
  • Loo Hay Lee

    (National University of Singapore)

  • Ek Peng Chew

    (National University of Singapore)

  • Kok Choon Tan

    (National University of Singapore)

  • Yongbin Han

    (National University of Singapore)

Abstract

This paper studies a yard storage allocation problem in a transshipment hub where there is a great number of loading and unloading activities. The primary challenge is to efficiently shift containers between the vessels and the storage area so that reshuffling and traffic congestion is minimized. In particular, to reduce reshuffling, a consignment strategy is used. This strategy groups unloaded containers according to their destination vessel. To reduce traffic congestion, a new workload balancing protocol is proposed. A mixed integer-programming model is then formulated to determine the minimum number of yard cranes to deploy and the location where unloaded containers should be stored. The model is solved using CPLEX. Due to the size and complexity of this model two heuristics are also developed. The first is a sequential method while the second is a column generation method. A bound is developed that allows the quality of the solution to be judged. Lastly, a numerical investigation is provided and demonstrates that the algorithms perform adequately on most cases considered.

Suggested Citation

  • Loo Hay Lee & Ek Peng Chew & Kok Choon Tan & Yongbin Han, 2007. "An optimization model for storage yard management in transshipment hubs," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 107-129, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-49550-5_6
    DOI: 10.1007/978-3-540-49550-5_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Yinping & Zhen, Lu, 2024. "A decision framework for decomposed stowage planning for containers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    2. Yang, Lingyi & Ng, Tsan Sheng & Lee, Loo Hay, 2022. "A robust approximation for yard template optimization under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 160(C), pages 21-53.
    3. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    4. Chen, Xiaojing & Li, Feng & Jia, Bin & Wu, Jianjun & Gao, Ziyou & Liu, Ronghui, 2021. "Optimizing storage location assignment in an automotive Ro-Ro terminal," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 249-281.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-49550-5_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.