IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v40y1992i1-supplement-1ps28-s39.html
   My bibliography  Save this article

When Is the Classroom Assignment Problem Hard?

Author

Listed:
  • Michael W. Carter

    (University of Toronto, Toronto, Ontario, Canada)

  • Craig A. Tovey

    (Georgia Institute of Technology, Atlanta, Georgia)

Abstract

The classroom assignment (or hotel room or interval scheduling) problem is to assign classes, which meet at different time intervals, to rooms. Two classes may not meet simultaneously in the same room, nor may a class meet in two different rooms. Thousands of colleges and secondary schools face this problem every semester. There has been some confusion as to how hard this problem is. Many colleges claim that it is easy, while others complain that it is next to impossible. In the literature, some authors claim or conjecture polynomial time algorithms, while others develop heuristic approaches. The goal of this paper is to resolve the confusion by identifying cases where the problem will be easy and others where it will be hard. We focus on the kinds of cases that schedulers are apt to encounter in practice.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:oropre:v:40:y:1992:i:1-supplement-1:p:s28-s39
    DOI: 10.1287/opre.40.1.S28
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.40.1.S28
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.40.1.S28?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
    ---><---

    Citations

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


    Cited by:

    1. Antoon W.J. Kolen & Jan Karel Lenstra & Christos H. Papadimitriou & Frits C.R. Spieksma, 2007. "Interval scheduling: A survey," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(5), pages 530-543, August.
    2. C Beyrouthy & E K Burke & D Landa-Silva & B McCollum & P McMullan & A J Parkes, 2009. "Towards improving the utilization of university teaching space," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 130-143, January.
    3. Mausser, Helmut E. & Magazine, Michael J., 1996. "Comparison of neural and heuristic methods for a timetabling problem," European Journal of Operational Research, Elsevier, vol. 93(2), pages 271-287, September.
    4. Craig A. Tovey, 2002. "Tutorial on Computational Complexity," Interfaces, INFORMS, vol. 32(3), pages 30-61, June.
    5. Jeffrey Kingston, 2012. "Resource assignment in high school timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 241-254, April.
    6. Jason J. Sauppe & David R. Morrison & Sheldon H. Jacobson, 2015. "Assigning Panels to Meeting Rooms at the National Science Foundation," Interfaces, INFORMS, vol. 45(6), pages 529-542, December.
    7. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    8. 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.
    9. Raphael Medeiros Alves & Francisco Cunha & Anand Subramanian & Alisson V. Brito, 2022. "Minimizing energy consumption in a real-life classroom assignment problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1149-1175, December.
    10. Nelishia Pillay, 2014. "A survey of school timetabling research," Annals of Operations Research, Springer, vol. 218(1), pages 261-293, July.
    11. Yim, Seho & Hong, Sung-Pil & Park, Myoung-Ju & Chung, Yerim, 2022. "Inverse interval scheduling via reduction on a single machine," European Journal of Operational Research, Elsevier, vol. 303(2), pages 541-549.
    12. Kovalyov, Mikhail Y. & Ng, C.T. & Cheng, T.C. Edwin, 2007. "Fixed interval scheduling: Models, applications, computational complexity and algorithms," European Journal of Operational Research, Elsevier, vol. 178(2), pages 331-342, April.
    13. 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.
    14. Zhang, Xiandong & (Yale) Gong, Yeming & Zhou, Shuyu & de Koster, René & van de Velde, Steef, 2016. "Increasing the revenue of self-storage warehouses by optimizing order scheduling," European Journal of Operational Research, Elsevier, vol. 252(1), pages 69-78.

    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:inm:oropre:v:40:y:1992:i:1-supplement-1:p:s28-s39. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.