IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-15655-7_13.html
   My bibliography  Save this book chapter

Simulation Approach for Container Assignment under Uncertainty

In: Optimisation in Synchromodal Logistics

Author

Listed:
  • W. J. deKoning

    (TNO)

Abstract

In this chapter an online optimisation approach is proposed which can be used to find an appropriate combined schedule and container assignment in a Network Design Problem under uncertainty. For this, a simulation based approach on a multi-period time window is proposed, moving forward on the time window after each decision made, assuming that the status of the system is updated as soon as the stochastic and unknown elements become deterministic and known. This approach provides new insight and knowledge into synchromodal and multimodal planning problems. The results of the approach are compared to the results of three simpler online optimisation methods and to the solution of the offline approach where all information is known.

Suggested Citation

  • W. J. deKoning, 2023. "Simulation Approach for Container Assignment under Uncertainty," Lecture Notes in Operations Research, in: Frank Phillipson (ed.), Optimisation in Synchromodal Logistics, chapter 0, pages 219-234, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-15655-7_13
    DOI: 10.1007/978-3-031-15655-7_13
    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.

    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:spr:lnopch:978-3-031-15655-7_13. 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.