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Allocation of seminar applicants

Author

Listed:
  • Andreas Kleine

    (FernUniversität in Hagen)

  • Andreas Dellnitz

    (FernUniversität in Hagen)

Abstract

The allocation of seminar applicants is an important issue in educational planning, and each semester a university administration has to deal with this kind of problem. The task here is to reconcile the preferences and priorities of the students, professorships and the university administration itself. This paper shows that if the planning procedure is based on a simple selection strategy, the capacity utilization can be suboptimal; this result is evidenced by a simulation study. To remedy this deficit—and to justify the respective interests—we propose a mixed-integer goal programming approach for assigning students to seminar courses. In addition, we show that this problem can be reformulated into a linear one. All investigations in this paper are illustrated by a real-world application for the University of Hagen, Germany.

Suggested Citation

  • Andreas Kleine & Andreas Dellnitz, 2017. "Allocation of seminar applicants," Journal of Business Economics, Springer, vol. 87(7), pages 927-941, October.
    • Handle: RePEc:spr:jbecon:v:87:y:2017:i:7:d:10.1007_s11573-017-0858-4
    DOI: 10.1007/s11573-017-0858-4
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    References listed on IDEAS

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    Cited by:

    1. Andreas Dellnitz & Damian Pozo & Jochen Bauer & Andreas Kleine, 2023. "Practice Summary: Seminar Assignments in a University—MATLAB-Based Decision Support," Interfaces, INFORMS, vol. 53(4), pages 307-311, July.

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    More about this item

    Keywords

    Seminar assignment; Educational planning; Goal programming; Multi-objective assignment;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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