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A MILP model for the teacher assignment problem considering teachers’ preferences

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  • Domenech, B
  • Lusa, A

Abstract

The Teacher Assignment Problem is part of the University Timetabling Problem and involves assigning teachers to courses, taking their preferences into consideration. This is a complex problem, usually solved by means of heuristic algorithms. In this paper a Mixed Integer Linear Programing model is developed to balance teachers’ teaching load (first optimization criterion), while maximizing teachers’ preferences for courses according to their category (second optimization criterion). The model is used to solve the teachers-courses assignment in the Department of Management at the School of Industrial Engineering of Barcelona, in the Universitat Politècnica de Catalunya. Results are discussed regarding the importance given to the optimization criteria. Moreover, to test the model's performance a computational experiment is carried out using randomly generated instances based on real patterns. Results show that the model is proven to be suitable for many situations (number of teachers-courses and weight of the criteria), being useful for departments with similar requests.

Suggested Citation

  • Domenech, B & Lusa, A, 2016. "A MILP model for the teacher assignment problem considering teachers’ preferences," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1153-1160.
    • Handle: RePEc:eee:ejores:v:249:y:2016:i:3:p:1153-1160
    DOI: 10.1016/j.ejor.2015.08.057
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    References listed on IDEAS

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    1. 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.
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    6. Daskalaki, S. & Birbas, T. & Housos, E., 2004. "An integer programming formulation for a case study in university timetabling," European Journal of Operational Research, Elsevier, vol. 153(1), pages 117-135, February.
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    Cited by:

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    3. da Cunha, Joaquim J. & de Souza, Mauricio C., 2018. "A linearized model for academic staff assignment in a Brazilian university focusing on performance gain in quality indicators," International Journal of Production Economics, Elsevier, vol. 197(C), pages 43-51.
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    5. Nancy M. Arratia-Martinez & Paulina A. Avila-Torres & Juana C. Trujillo-Reyes, 2021. "Solving a University Course Timetabling Problem Based on AACSB Policies," Mathematics, MDPI, vol. 9(19), pages 1-19, October.

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