IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v143y2002i3p531-542.html
   My bibliography  Save this article

A generalized class-teacher model for some timetabling problems

Author

Listed:
  • Asratian, A. S.
  • de Werra, D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Asratian, A. S. & de Werra, D., 2002. "A generalized class-teacher model for some timetabling problems," European Journal of Operational Research, Elsevier, vol. 143(3), pages 531-542, December.
    • Handle: RePEc:eee:ejores:v:143:y:2002:i:3:p:531-542
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(01)00342-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Werra, D., 1985. "An introduction to timetabling," European Journal of Operational Research, Elsevier, vol. 19(2), pages 151-162, February.
    2. de Werra, D., 1996. "Extensions of coloring models for scheduling purposes," European Journal of Operational Research, Elsevier, vol. 92(3), pages 474-492, August.
    3. Arabinda Tripathy, 1984. "School Timetabling---A Case in Large Binary Integer Linear Programming," Management Science, INFORMS, vol. 30(12), pages 1473-1489, December.
    4. Costa, Daniel, 1994. "A tabu search algorithm for computing an operational timetable," European Journal of Operational Research, Elsevier, vol. 76(1), pages 98-110, July.
    5. Krarup, J. & de Werra, D., 1982. "Chromatic optimisation: Limitations, objectives, uses, references," European Journal of Operational Research, Elsevier, vol. 11(1), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jaime Miranda, 2010. "eClasSkeduler: A Course Scheduling System for the Executive Education Unit at the Universidad de Chile," Interfaces, INFORMS, vol. 40(3), pages 196-207, June.
    2. Dönmez, Kadir & Demirel, Soner & Özdemir, Mustafa, 2020. "Handling the pseudo pilot assignment problem in air traffic control training by using NASA TLX," Journal of Air Transport Management, Elsevier, vol. 89(C).
    3. De Causmaecker, Patrick & Demeester, Peter & Vanden Berghe, Greet, 2009. "A decomposed metaheuristic approach for a real-world university timetabling problem," European Journal of Operational Research, Elsevier, vol. 195(1), pages 307-318, May.
    4. Al-Yakoob, Salem M. & Sherali, Hanif D., 2007. "A mixed-integer programming approach to a class timetabling problem: A case study with gender policies and traffic considerations," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1028-1044, August.
    5. 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.
    6. Britta Herres & Heinz Schmitz, 2021. "Decomposition of university course timetabling," Annals of Operations Research, Springer, vol. 302(2), pages 405-423, July.
    7. Zhang, Defu & Liu, Yongkai & M'Hallah, Rym & Leung, Stephen C.H., 2010. "A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 550-558, June.
    8. Al-Yakoob, Salem M. & Sherali, Hanif D., 2006. "Mathematical programming models and algorithms for a class-faculty assignment problem," European Journal of Operational Research, Elsevier, vol. 173(2), pages 488-507, September.
    9. Pongcharoen, P. & Promtet, W. & Yenradee, P. & Hicks, C., 2008. "Stochastic Optimisation Timetabling Tool for university course scheduling," International Journal of Production Economics, Elsevier, vol. 112(2), pages 903-918, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Al-Yakoob, Salem M. & Sherali, Hanif D., 2006. "Mathematical programming models and algorithms for a class-faculty assignment problem," European Journal of Operational Research, Elsevier, vol. 173(2), pages 488-507, September.
    2. 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.
    3. Kristiansen, Simon & Sørensen, Matias & Stidsen, Thomas R., 2011. "Elective course planning," European Journal of Operational Research, Elsevier, vol. 215(3), pages 713-720, December.
    4. Daskalaki, S. & Birbas, T., 2005. "Efficient solutions for a university timetabling problem through integer programming," European Journal of Operational Research, Elsevier, vol. 160(1), pages 106-120, January.
    5. Carrasco, M. P. & Pato, M. V., 2004. "A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem," European Journal of Operational Research, Elsevier, vol. 153(1), pages 65-79, February.
    6. Massimiliano Caramia & Stefano Giordani, 2020. "Curriculum-Based Course Timetabling with Student Flow, Soft Constraints, and Smoothing Objectives: an Application to a Real Case Study," SN Operations Research Forum, Springer, vol. 1(2), pages 1-21, June.
    7. 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.
    8. De Causmaecker, Patrick & Demeester, Peter & Vanden Berghe, Greet, 2009. "A decomposed metaheuristic approach for a real-world university timetabling problem," European Journal of Operational Research, Elsevier, vol. 195(1), pages 307-318, May.
    9. 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.
    10. Haase, Knut & Latteier, Jorg & Schirmer, Andreas, 1998. "The course scheduling problem at Lufthansa Technical Training," European Journal of Operational Research, Elsevier, vol. 110(3), pages 441-456, November.
    11. Drexl, Andreas & Salewski, Frank, 1997. "Distribution requirements and compactness constraints in school timetabling," European Journal of Operational Research, Elsevier, vol. 102(1), pages 193-214, October.
    12. Haase, Knut & Latteier, Jörg & Schirmer, Andreas, 1997. "The course scheduling problem at Lufthansa Technical Training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 441, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    13. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    14. Urban, Timothy L. & Russell, Robert A., 2003. "Scheduling sports competitions on multiple venues," European Journal of Operational Research, Elsevier, vol. 148(2), pages 302-311, July.
    15. de Werra, D., 1997. "The combinatorics of timetabling," European Journal of Operational Research, Elsevier, vol. 96(3), pages 504-513, February.
    16. Hertz, Alain & Robert, Vincent, 1998. "Constructing a course schedule by solving a series of assignment type problems," European Journal of Operational Research, Elsevier, vol. 108(3), pages 585-603, August.
    17. K Papoutsis & C Valouxis & E Housos, 2003. "A column generation approach for the timetabling problem of Greek high schools," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 230-238, March.
    18. 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.
    19. Jagota, Arun, 1996. "An adaptive, multiple restarts neural network algorithm for graph coloring," European Journal of Operational Research, Elsevier, vol. 93(2), pages 257-270, September.
    20. Michael R. Miller & Robert J. Alexander & Vincent A. Arbige & Robert F. Dell & Steven R. Kremer & Brian P. McClune & Jane E. Oppenlander & Joshua P. Tomlin, 2017. "Optimal Allocation of Students to Naval Nuclear-Power Training Units," Interfaces, INFORMS, vol. 47(4), pages 320-335, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:143:y:2002:i:3:p:531-542. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.