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Examination scheduling: A computerized application

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  • Balakrishnan, N

Abstract

While the primary objective in examination scheduling is that no student should have more than one exam during the same period, most real-life cases have a large number of other complicating constraints that make the problem complex. These may include room availability constraints, prevention of exams in successive periods for the same student, incompatibility of a few exams with certain periods, etc. We describe the successful application of a graph-coloring based examination scheduling heuristic to the scheduling problem faced by the Freeman School of Business at Tulane University. The procedure, which is currently being used at the school, is easy to implement and handles all the issues in the problem including the room availability constraints simultaneously. Our computational experience indicates that the procedure is general and flexible enough to be easily adapted to exam scheduling problems at other small schools.

Suggested Citation

  • Balakrishnan, N, 1991. "Examination scheduling: A computerized application," Omega, Elsevier, vol. 19(1), pages 37-41.
  • Handle: RePEc:eee:jomega:v:19:y:1991:i:1:p:37-41
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    Citations

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    Cited by:

    1. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    2. Hansen, Michael Pilegaard & Vidal, ReneVictor Valqui, 1995. "Planning of high school examinations in Denmark," European Journal of Operational Research, Elsevier, vol. 87(3), pages 519-534, December.
    3. Dimopoulou, M. & Miliotis, P., 2001. "Implementation of a university course and examination timetabling system," European Journal of Operational Research, Elsevier, vol. 130(1), pages 202-213, April.
    4. Haase, Knut & Latteier, Jörg, 1996. "Deckungsbeitragsorientierte Lehrgangsplanung bei der Lufthansa Technical Training GmbH," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 395, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. T. Godwin, 2022. "Obtaining quality business school examination timetable under heterogeneous elective selections through surrogacy," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1055-1093, September.
    6. K A Dowsland & J M Thompson, 2005. "Ant colony optimization for the examination scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(4), pages 426-438, April.
    7. Turabieh, Hamza & Abdullah, Salwani, 2011. "An integrated hybrid approach to the examination timetabling problem," Omega, Elsevier, vol. 39(6), pages 598-607, December.

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