IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v58y2020i22p6934-6948.html
   My bibliography  Save this article

The impact of incomplete vessel arrival information on container stacking

Author

Listed:
  • Yuyan He
  • Aihu Wang
  • Hailiang Su

Abstract

Container stacking determines the incoming containers’ exact locations in a terminal storage yard which matters to the competitiveness of a port. The uncertain stacking or arrival sequence of containers caused by uncertain vessel arrival information brings some new challenges to container stacking. Based on the perspective of uncertainty, this article uses heuristic algorithms to evaluate the use of vessel arrival information to reduce the number of reshuffles, which differs from previous research mainly in the following three aspects: firstly, three different stacking principles i.e. the least reshuffle principle, lowest stack principle and nearest stack principle, are combined to create five new heuristics. Secondly, the incomplete information is divided into little, moderate and high levels and a variety of scenarios with different levels of vessel arrival information are generated to explore the effect of incomplete information on container stacking. Lastly, numerical experiments demonstrate that the results for complete information are presented to provide a lower bound reference. Moreover, the results obtained by different heuristics under different levels of vessel arrival information are closely related to factors like the bay scale, the bay utilisation rate and the number of containers.

Suggested Citation

  • Yuyan He & Aihu Wang & Hailiang Su, 2020. "The impact of incomplete vessel arrival information on container stacking," International Journal of Production Research, Taylor & Francis Journals, vol. 58(22), pages 6934-6948, November.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:22:p:6934-6948
    DOI: 10.1080/00207543.2019.1686188
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2019.1686188
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2019.1686188?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Zhou, Chenhao & Yuan, Mengxue & Zhang, Jingwen & Zhang, Wei, 2024. "A tree search algorithm for uncertainty-considered consecutive discharging and loading operations between ship and offshore platform," European Journal of Operational Research, Elsevier, vol. 315(2), pages 729-749.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:58:y:2020:i:22:p:6934-6948. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.