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A General Examination Scheduling System

Author

Listed:
  • Michael W. Carter

    (Department of Industrial Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada)

  • Gilbert Laporte

    (École des Hautes Études Commerciales de Montréal, 5255 avenue Decelles, Montréal, Quebec H3T 1V6, Canada)

  • John W. Chinneck

    (Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario K1S 5B6, Canada)

Abstract

Scheduling examinations is a problem in virtually every high school, college, and university. The basic challenge is to schedule examinations over a limited time period so as to avoid conflicts and to satisfy a number of side constraints. Over 10 years, we have developed EXAMINE, a robust and flexible examination scheduling system suited to the needs of most educational institutions. EXAMINE runs on a PC and is fast and user-friendly. It provides a choice of feasible schedules and solutions in which examinations are well spread out for most students. It handles requirements regarding the proximity of a student's exams, room or time availability, and other factors. Over the past two years, the University of Toronto's engineering faculty and Carleton University have collaborated with us to develop a software package, which has been implemented at both institutions.

Suggested Citation

  • Michael W. Carter & Gilbert Laporte & John W. Chinneck, 1994. "A General Examination Scheduling System," Interfaces, INFORMS, vol. 24(3), pages 109-120, June.
  • Handle: RePEc:inm:orinte:v:24:y:1994:i:3:p:109-120
    DOI: 10.1287/inte.24.3.109
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Rania M. Awad & John W. Chinneck, 1998. "Proctor Assignment at Carleton University," Interfaces, INFORMS, vol. 28(2), pages 58-71, April.
    2. Tiago Pais & Paula Amaral, 2012. "Managing the tabu list length using a fuzzy inference system: an application to examination timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 341-363, April.
    3. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    4. Christos Gogos & Panayiotis Alefragis & Efthymios Housos, 2012. "An improved multi-staged algorithmic process for the solution of the examination timetabling problem," Annals of Operations Research, Springer, vol. 194(1), pages 203-221, April.
    5. Cangalovic, Mirjana & Kovacevic-Vujcic, Vera & Ivanovic, Lav & Drazic, Milan, 1998. "Modeling and solving a real-life assignment problem at universities," European Journal of Operational Research, Elsevier, vol. 110(2), pages 223-233, October.
    6. 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.
    7. J. Paul Brooks, 2012. "The Court of Appeals of Virginia Uses Integer Programming and Cloud Computing to Schedule Sessions," Interfaces, INFORMS, vol. 42(6), pages 544-553, December.
    8. 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.
    9. Saeedeh Bazari & Alireza Pooya & Omid Soleimani Fard & Pardis Roozkhosh, 2023. "Modeling and solving the problem of scheduling university exams in terms of new constraints on the conflicts of professors' exams and the concurrence of exams with common questions," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 877-915, June.

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