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April 25, 2026Operations Research Forum0 citationsOpen Access

An Integer Programming Approach to Solve One Semester’s Lectures Timetabling Problem with a Case Study for the Faculty of Medicine, Kuwait University

AAAhmad T. Al‐SultanAAAhmad R. AlsaberAAAbdullah AlMajran

Key Points

  • This paper aims to address the challenges of scheduling lectures by optimizing classroom assignments and minimizing resource wastage.
  • Utilized multi-objective integer programming in a two-stage approach for scheduling.
  • First stage focused on assigning student groups and practical sections.
  • Final stage involved scheduling lectures and allocating rooms based on preferences.
  • Created a full-semester timetable for first-year medical students.
  • Minimized empty seats and room allocation costs with a preference score system.
  • Evaluated scenarios for increasing student enrollment and their impact on scheduling.

Abstract

The lecture timetable assignment has been important and one of the major challenging administrative tasks in academic institutions in recent years. This is due to several factors, including the growing number of students, the variety of lectures, and the lack of suitable classrooms. This paper aims to solve an existing lecture scheduling problem in which daily assignments of events (lectures, faculty members, and student groups) to classrooms and periods are considered. The proposed method implements a two-stage method using multi-objective integer programming. The first stage involves student-group and practical-section assignments. The final stage involves lectures and timetabling assignments. The output results gave a full-semester timetable daily for first-year students in the college of medicine, while minimizing the cost of an empty seat and a room assignment according to a preference score for a lecture under the college’s regulations. Selected scenarios for the growing number of enrolled students were discussed and evaluated.

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Cite This Study

Al‐Sultan et al. (2026) studied this question.

synapsesocial.com/papers/69ec598788ba6daa22dab582https://doi.org/10.1007/s43069-026-00637-y
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Modelling and Solving Multi-objective University Course Timetabling Problems2025
  2. 2Application of mixed-integer linear programming problems to optimise timetables and classroom arrangements2026
  3. 3Curriculum-based university course timetabling considering individual course of studies2024 · 3 citations
  4. 4MODELLING AND SOLVING COURSE SCHEDULING PROBLEMS (CASE STUDY: MATHEMATICS STUDY PROGRAM, INSTITUT TEKNOLOGI SUMATERA)2024
  5. 5From theory to practice: solving a real-world multi-objective proctor assignment problem at a university in Istanbul2025