IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v30y1984i11p1362-1375.html
   My bibliography  Save this article

Topological and Computational Aspects of Preemptive Multicriteria Military Personnel Assignment Problems

Author

Listed:
  • Darwin Klingman

    (College of Business Administration, University of Texas, Austin, Texas 78712)

  • Nancy V. Phillips

    (College of Business Administration, University of Texas, Austin, Texas 78712)

Abstract

This paper first presents a brief reveiw of the multicriteria problems faced by the United States Army, Navy, and Marine Corps in making enlisted personnel assignment decisions. Then for the most complex of these military assignment problems, the Marine Corps problem, a new modeling and solution approach is presented with computational results for a problem having eleven criteria and approximately 10,000 constraints and 780,000 variables. Other contributions of this paper include: (a) New insights into the effects on model structure and solution efficiency of handling preemptive multiple criteria sequentially versus simultaneously. (b) Derivation of an excellent convex proportional fill function. (c) Providing multicriteria researchers with a class of large-scale test problems.

Suggested Citation

  • Darwin Klingman & Nancy V. Phillips, 1984. "Topological and Computational Aspects of Preemptive Multicriteria Military Personnel Assignment Problems," Management Science, INFORMS, vol. 30(11), pages 1362-1375, November.
    • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:11:p:1362-1375
    DOI: 10.1287/mnsc.30.11.1362
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.30.11.1362
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.30.11.1362?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. Dan Shrimpton & Alexandra M. Newman, 2005. "The US Army Uses a Network Optimization Model to Designate Career Fields for Officers," Interfaces, INFORMS, vol. 35(3), pages 230-237, June.
    2. Allen Holder, 2005. "Navy Personnel Planning and the Optimal Partition," Operations Research, INFORMS, vol. 53(1), pages 77-89, February.

    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:ormnsc:v:30:y:1984:i:11:p:1362-1375. 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.