IDEAS home Printed from https://ideas.repec.org/a/kap/pubcho/v117y2003i1-2p163-75.html
   My bibliography  Save this article

Use of Integer Programming to Optimize the Scheduling of Panels at Annual Meetings of the Public Choice Society

Author

Listed:
  • Potthoff, Richard F
  • Munger, Michael C

Abstract

Preparation for the annual meetings of an organization such as the Public Choice Society involves scheduling various panels (sessions) in the available time slots. No person can be scheduled for more than one panel in the same time slot. Each panel belongs to a specific subject area; one tries to spread the panels in each area among the time slots as evenly as possible. We develop an integer-programming model to produce a schedule that maximizes the evenness subject to the constraints. We successfully applied the model retrospectively, as a test case, to schedule the 2001 annual meetings of the society. Copyright 2003 by Kluwer Academic Publishers

Suggested Citation

  • Potthoff, Richard F & Munger, Michael C, 2003. "Use of Integer Programming to Optimize the Scheduling of Panels at Annual Meetings of the Public Choice Society," Public Choice, Springer, vol. 117(1-2), pages 163-175, October.
    • Handle: RePEc:kap:pubcho:v:117:y:2003:i:1-2:p:163-75
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0048-5829/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Akkan, Can & Erdem Külünk, M. & Koçaş, Cenk, 2016. "Finding robust timetables for project presentations of student teams," European Journal of Operational Research, Elsevier, vol. 249(2), pages 560-576.
    2. Bulhões, Teobaldo & Correia, Rubens & Subramanian, Anand, 2022. "Conference scheduling: A clustering-based approach," European Journal of Operational Research, Elsevier, vol. 297(1), pages 15-26.
    3. Pylyavskyy, Yaroslav & Jacko, Peter & Kheiri, Ahmed, 2024. "A generic approach to conference scheduling with integer programming," European Journal of Operational Research, Elsevier, vol. 317(2), pages 487-499.
    4. Vangerven, Bart & Ficker, Annette M.C. & Goossens, Dries R. & Passchyn, Ward & Spieksma, Frits C.R. & Woeginger, Gerhard J., 2018. "Conference scheduling — A personalized approach," Omega, Elsevier, vol. 81(C), pages 38-47.

    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:kap:pubcho:v:117:y:2003:i:1-2:p:163-75. 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: 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.