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A column generation mathematical programming approach for a class-faculty assignment problem with preferences

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  • Salem Al-Yakoob
  • Hanif Sherali

Abstract

This paper presents a column generation approach for assigning faculty members to sections of offered classes (class-sections) in a case study related to Kuwait University. For a given class, the total number of class-sections to be offered is known; however, the distribution of these class-sections into available time-slots is determined via a mixed-integer programming model that takes into consideration faculty members’ aggregate preferences for specific offered classes and the time-slots of the corresponding sections, as well as other restrictions imposed by the Office of the Registrar. Subsequently, upon fixing the time-slot assignments of the class-sections, another mixed-integer programming model is formulated and solved to select weekly schedules for faculty members, while considering their preferences for specific classes and time-slots. In this latter model, each variable corresponds to a feasible schedule of a faculty member, and by exploiting its special structure, we demonstrate that its continuous relaxation can be solved very efficiently via a column generation method in order to heuristically derive a good quality feasible solution. Computational results are provided for a number of test instances, including 10 real cases pertaining to the Department of Mathematics at Kuwait University. Copyright Springer-Verlag Berlin Heidelberg 2015

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  • Salem Al-Yakoob & Hanif Sherali, 2015. "A column generation mathematical programming approach for a class-faculty assignment problem with preferences," Computational Management Science, Springer, vol. 12(2), pages 297-318, April.
    • Handle: RePEc:spr:comgts:v:12:y:2015:i:2:p:297-318
    DOI: 10.1007/s10287-013-0163-9
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    References listed on IDEAS

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    Cited by:

    1. Sunil B. Bhoi & Jayesh M. Dhodiya, 2024. "Multi-objective faculty course assignment problem based on the double parametric form of fuzzy preferences," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(2), pages 1-16.

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