IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/1689.html
   My bibliography  Save this paper

Operations research supports container handling

Author

Listed:
  • Meersmans, P.J.M.
  • Dekker, R.

Abstract

In this paper we will give an overview of the use of operations research models and methods in the design and operation of container terminals. We will describe the activities that take place at a container terminal and give an overview of the relevant decision problems, both at a strategic, tactical and operational level. For each of these problems the appropriate operations research contributions are discussed.

Suggested Citation

  • Meersmans, P.J.M. & Dekker, R., 2001. "Operations research supports container handling," Econometric Institute Research Papers EI 2001-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:1689
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/1689/feweco20011102151222.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    2. Debjit Roy & Akash Gupta & René B.M. De Koster, 2016. "A non-linear traffic flow-based queuing model to estimate container terminal throughput with AGVs," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 472-493, January.
    3. Briskorn, Dirk & Drexl, Andreas & Hartmann, Sönke, 2005. "Inventory based dispatching of automated guided vehicles on container terminals," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 596, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Hartmann, Sönke, 2002. "Generating scenarios for simulation and optimization of container terminal logistics," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 564, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. Katta G. Murty & Yat-wah Wan & Jiyin Liu & Mitchell M. Tseng & Edmond Leung & Kam-Keung Lai & Herman W. C. Chiu, 2005. "Hongkong International Terminals Gains Elastic Capacity Using a Data-Intensive Decision-Support System," Interfaces, INFORMS, vol. 35(1), pages 61-75, February.
    6. Zhang, An & Zhang, Wenshuai & Chen, Yong & Chen, Guangting & Chen, Xufeng, 2017. "Approximate the scheduling of quay cranes with non-crossing constraints," European Journal of Operational Research, Elsevier, vol. 258(3), pages 820-828.

    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:ems:eureir:1689. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.html .

    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.