IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v218y2014i1p261-29310.1007-s10479-013-1321-8.html
   My bibliography  Save this article

A survey of school timetabling research

Author

Listed:
  • Nelishia Pillay

Abstract

Although there has been a fair amount of research in the area of school timetabling, this domain has not developed as well as other fields of educational timetabling such as university course and examination timetabling. This can possibly be attributed to the fact that the studies in this domain have generally been conducted in isolation of each other and have addressed different school timetabling problems. Furthermore, there have been no comparative studies on the success of different methodologies on a variety of school timetabling problems. As a way forward this paper provides an overview of the research conducted in this domain, details of problem sets which are publicly available and proposes areas for further research in school timetabling. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Nelishia Pillay, 2014. "A survey of school timetabling research," Annals of Operations Research, Springer, vol. 218(1), pages 261-293, July.
  • Handle: RePEc:spr:annopr:v:218:y:2014:i:1:p:261-293:10.1007/s10479-013-1321-8
    DOI: 10.1007/s10479-013-1321-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-013-1321-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-013-1321-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Ramón Alvarez-Valdés & Francisco Parreño & José Tamarit, 2002. "A tabu search algorithm for assigning teachers to courses," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(2), pages 239-259, December.
    2. de Gans, Onno B., 1981. "A computer timetabling system for secondary schools in the Netherlands," European Journal of Operational Research, Elsevier, vol. 7(2), pages 175-182, June.
    3. 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.
    4. Michael W. Carter & Craig A. Tovey, 1992. "When Is the Classroom Assignment Problem Hard?," Operations Research, INFORMS, vol. 40(1-supplem), pages 28-39, February.
    5. Pillay, N. & Banzhaf, W., 2009. "A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 482-491, September.
    6. 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.
    7. Arnaldo Vieira Moura & Rafael Augusto Scaraficci, 2010. "A GRASP strategy for a more constrained School Timetabling Problem," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 7(2), pages 152-170.
    8. Burke, Edmund K. & McCollum, Barry & Meisels, Amnon & Petrovic, Sanja & Qu, Rong, 2007. "A graph-based hyper-heuristic for educational timetabling problems," European Journal of Operational Research, Elsevier, vol. 176(1), pages 177-192, January.
    9. D. Abramson, 1991. "Constructing School Timetables Using Simulated Annealing: Sequential and Parallel Algorithms," Management Science, INFORMS, vol. 37(1), pages 98-113, January.
    10. Werner Junginger, 1986. "Timetabling in Germany---A Survey," Interfaces, INFORMS, vol. 16(4), pages 66-74, August.
    11. G N Beligiannis & C Moschopoulos & S D Likothanassis, 2009. "A genetic algorithm approach to school timetabling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 23-42, January.
    12. 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.
    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. Cristian D. Palma & Patrick Bornhardt, 2020. "Considering Section Balance in an Integer Optimization Model for the Curriculum-Based Course Timetabling Problem," Mathematics, MDPI, vol. 8(10), pages 1-12, October.
    2. Ceschia, Sara & Di Gaspero, Luca & Schaerf, Andrea, 2023. "Educational timetabling: Problems, benchmarks, and state-of-the-art results," European Journal of Operational Research, Elsevier, vol. 308(1), pages 1-18.
    3. Vid Ogris & Tomaž Kristan & Andrej Škraba & Marko Urh & Davorin Kofjač, 2016. "iUrnik: Timetabling for Primary Educational Institutions in Slovenia," Interfaces, INFORMS, vol. 46(3), pages 231-244, April.
    4. Esmaeilbeigi, Rasul & Mak-Hau, Vicky & Yearwood, John & Nguyen, Vivian, 2022. "The multiphase course timetabling problem," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1098-1119.
    5. Dorneles, Árton P. & de Araújo, Olinto C.B. & Buriol, Luciana S., 2017. "A column generation approach to high school timetabling modeled as a multicommodity flow problem," European Journal of Operational Research, Elsevier, vol. 256(3), pages 685-695.
    6. Gülcü, Ayla & Akkan, Can, 2020. "Robust university course timetabling problem subject to single and multiple disruptions," European Journal of Operational Research, Elsevier, vol. 283(2), pages 630-646.
    7. Felipe Rosa-Rivera & Jose I. Nunez-Varela & Cesar A. Puente-Montejano & Sandra E. Nava-Muñoz, 2021. "Measuring the complexity of university timetabling instances," Journal of Scheduling, Springer, vol. 24(1), pages 103-121, February.
    8. Álvaro García-Sánchez & Araceli Hernández & Eduardo Caro & Gonzalo Jiménez, 2019. "Universidad Politécnica de Madrid Uses Integer Programming for Scheduling Weekly Assessment Activities," Interfaces, INFORMS, vol. 49(2), pages 104-116, March.
    9. Saviniec, Landir & Santos, Maristela O. & Costa, Alysson M., 2018. "Parallel local search algorithms for high school timetabling problems," European Journal of Operational Research, Elsevier, vol. 265(1), pages 81-98.
    10. Nossack, Jenny, 2022. "Therapy scheduling and therapy planning at hospitals," Omega, Elsevier, vol. 109(C).
    11. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    12. Eiji Mizutani & Kevin Alexander Sánchez Galeano, 2023. "A note on a single-shift days-off scheduling problem with sequence-dependent labor costs," Journal of Scheduling, Springer, vol. 26(3), pages 315-329, June.
    13. R. A. Oude Vrielink & E. A. Jansen & E. W. Hans & J. Hillegersberg, 2019. "Practices in timetabling in higher education institutions: a systematic review," Annals of Operations Research, Springer, vol. 275(1), pages 145-160, April.
    14. Efstratios Rappos & Eric Thiémard & Stephan Robert & Jean-François Hêche, 2022. "A mixed-integer programming approach for solving university course timetabling problems," Journal of Scheduling, Springer, vol. 25(4), pages 391-404, August.
    15. Aslan, Ayse & Bakir, Ilke & Vis, Iris F.A., 2020. "A dynamic thompson sampling hyper-heuristic framework for learning activity planning in personalized learning," European Journal of Operational Research, Elsevier, vol. 286(2), pages 673-688.
    16. Aslan, Ayse & Ursavas, Evrim & Romeijnders, Ward, 2023. "A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems," Omega, Elsevier, vol. 115(C).
    17. Kaixiang Zhu & Lily D. Li & Michael Li, 2021. "School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method," Mathematics, MDPI, vol. 10(1), pages 1-19, December.
    18. Oliver Czibula & Hanyu Gu & Aaron Russell & Yakov Zinder, 2017. "A multi-stage IP-based heuristic for class timetabling and trainer rostering," Annals of Operations Research, Springer, vol. 252(2), pages 305-333, May.

    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. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    2. 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.
    3. Song, Kwonsik & Kim, Sooyoung & Park, Moonseo & Lee, Hyun-Soo, 2017. "Energy efficiency-based course timetabling for university buildings," Energy, Elsevier, vol. 139(C), pages 394-405.
    4. Anjuli Kannan & Gerald van den Berg & Adeline Kuo, 2012. "iSchedule to Personalize Learning," Interfaces, INFORMS, vol. 42(5), pages 437-448, October.
    5. Haroldo Santos & Eduardo Uchoa & Luiz Ochi & Nelson Maculan, 2012. "Strong bounds with cut and column generation for class-teacher timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 399-412, April.
    6. 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.
    7. Schirmer, Andreas & Potzhar, Kathrin, 2001. "Professional course scheduling in airline transport pilot training: A case from Lufthansa flight training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 539, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    8. Gerhard Post & Samad Ahmadi & Sophia Daskalaki & Jeffrey Kingston & Jari Kyngas & Cimmo Nurmi & David Ranson, 2012. "An XML format for benchmarks in High School Timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 385-397, April.
    9. 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.
    10. 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.
    11. 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.
    12. Haase, Knut & Latteier, Jörg & Schirmer, Andreas, 1997. "Course planning at Lufthansa technical training: Constructing more profitable schedules," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 442, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    13. Clarence H. Martin, 2004. "Ohio University's College of Business Uses Integer Programming to Schedule Classes," Interfaces, INFORMS, vol. 34(6), pages 460-465, December.
    14. Oliver Czibula & Hanyu Gu & Aaron Russell & Yakov Zinder, 2017. "A multi-stage IP-based heuristic for class timetabling and trainer rostering," Annals of Operations Research, Springer, vol. 252(2), pages 305-333, May.
    15. 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.
    16. Kahar, M.N.M. & Kendall, G., 2010. "The examination timetabling problem at Universiti Malaysia Pahang: Comparison of a constructive heuristic with an existing software solution," European Journal of Operational Research, Elsevier, vol. 207(2), pages 557-565, December.
    17. Mohammed Al-Betar & Ahamad Khader & Iyad Doush, 2014. "Memetic techniques for examination timetabling," Annals of Operations Research, Springer, vol. 218(1), pages 23-50, July.
    18. Abdul Rahman, Syariza & Bargiela, Andrzej & Burke, Edmund K. & Özcan, Ender & McCollum, Barry & McMullan, Paul, 2014. "Adaptive linear combination of heuristic orderings in constructing examination timetables," European Journal of Operational Research, Elsevier, vol. 232(2), pages 287-297.
    19. G N Beligiannis & C Moschopoulos & S D Likothanassis, 2009. "A genetic algorithm approach to school timetabling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 23-42, January.
    20. Michael Marte, 2007. "Towards constraint-based school timetabling," Annals of Operations Research, Springer, vol. 155(1), pages 207-225, November.

    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:spr:annopr:v:218:y:2014:i:1:p:261-293:10.1007/s10479-013-1321-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.