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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
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    References listed on IDEAS

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