IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v9y1981i6p613-618.html
   My bibliography  Save this article

Computational results for very large air crew scheduling problems

Author

Listed:
  • Baker, Edward
  • Fisher, Michael

Abstract

The airline crew scheduling problem is typically formulated as a set covering problem. The Federal Express Corporation has recently implemented a heuristic crew scheduling system based on this model. The system has been implemented on an IBM 3033 computer. Computational results are presented for crew scheduling problems with up to 3000 rows and 15,000 columns. Results of operational quality are obtained in less than one hour of computer time. This model provides a prototype for a wide variety of large scale crew scheduling applications.

Suggested Citation

  • Baker, Edward & Fisher, Michael, 1981. "Computational results for very large air crew scheduling problems," Omega, Elsevier, vol. 9(6), pages 613-618.
  • Handle: RePEc:eee:jomega:v:9:y:1981:i:6:p:613-618
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0305-0483(81)90049-9
    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.

    Citations

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


    Cited by:

    1. J. E. Beasley, 1990. "A lagrangian heuristic for set‐covering problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(1), pages 151-164, February.
    2. El-Darzi, Elia & Mitra, Gautam, 1995. "Graph theoretic relaxations of set covering and set partitioning problems," European Journal of Operational Research, Elsevier, vol. 87(1), pages 109-121, November.
    3. Beasley, J. E. & Cao, B., 1996. "A tree search algorithm for the crew scheduling problem," European Journal of Operational Research, Elsevier, vol. 94(3), pages 517-526, November.
    4. Stephen E. Bechtold & Larry W. Jacobs, 1996. "The equivalence of general set‐covering and implicit integer programming formulations for shift scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 233-249, March.
    5. Parmentier, Axel & Meunier, Frédéric, 2020. "Aircraft routing and crew pairing: Updated algorithms at Air France," Omega, Elsevier, vol. 93(C).
    6. A. Mingozzi & M. A. Boschetti & S. Ricciardelli & L. Bianco, 1999. "A Set Partitioning Approach to the Crew Scheduling Problem," Operations Research, INFORMS, vol. 47(6), pages 873-888, December.

    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:jomega:v:9:y:1981:i:6:p:613-618. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.