IDEAS home Printed from https://ideas.repec.org/a/spr/jsched/v28y2025i2d10.1007_s10951-024-00817-w.html
   My bibliography  Save this article

Modelling and solving the university course timetabling problem with hybrid teaching considerations

Author

Listed:
  • Matthew Davison

    (Lancaster University)

  • Ahmed Kheiri

    (Lancaster University)

  • Konstantinos G. Zografos

    (Lancaster University)

Abstract

The university course timetabling problem is a challenging problem to solve. As universities have evolved, the features of this problem have changed. One emerging feature is hybrid teaching where classes can be taught online, in-person or a combination of both in-person and online. This work presents a multi-objective binary programming model that includes common university timetabling features, identified from the literature, as well as hybrid teaching features. A lexicographic solution method is outlined and computational experiments using benchmark data are used to demonstrate the key aspects of the model and explore trade-offs among the objectives considered. The results of these experiments demonstrate that the model can be used to find demand-driven schedules for universities that include hybrid teaching. They also show how the model could be used to inform practitioners who are involved in strategic decision-making at universities.

Suggested Citation

  • Matthew Davison & Ahmed Kheiri & Konstantinos G. Zografos, 2025. "Modelling and solving the university course timetabling problem with hybrid teaching considerations," Journal of Scheduling, Springer, vol. 28(2), pages 195-215, April.
    • Handle: RePEc:spr:jsched:v:28:y:2025:i:2:d:10.1007_s10951-024-00817-w
    DOI: 10.1007/s10951-024-00817-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10951-024-00817-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10951-024-00817-w?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.

    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:jsched:v:28:y:2025:i:2:d:10.1007_s10951-024-00817-w. 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.