IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v37y2007i2p163-175.html
   My bibliography  Save this article

Ranking US Army Generals of the 20th Century: A Group Decision-Making Application of the Analytic Hierarchy Process

Author

Listed:
  • Todd Retchless

    (Department of Mathematical Sciences, United States Military Academy, West Point, New York 10996)

  • Bruce Golden

    (R. H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Edward Wasil

    (Kogod School of Business, American University, Washington, DC 20016)

Abstract

The pantheon of 20th century US Army generals contains many great wartime commanders. Military historians have written about their leadership qualities but have not ranked the best generals. We asked 10 experts in US military history to evaluate seven generals---Omar Bradley, Dwight Eisenhower, Douglas MacArthur, George Marshall, George Patton, John Pershing, and Matthew Ridgway---using the analytic hierarchy process in a group setting. We developed a ratings hierarchy, and each participant scored each general. We combined individual pairwise comparisons using the geometric-mean method and a new method based on linear programming and obtained a clear, three-tier ranking of generals with George Marshall judged the best US Army general of the 20th century, closely followed by Dwight Eisenhower.

Suggested Citation

  • Todd Retchless & Bruce Golden & Edward Wasil, 2007. "Ranking US Army Generals of the 20th Century: A Group Decision-Making Application of the Analytic Hierarchy Process," Interfaces, INFORMS, vol. 37(2), pages 163-175, April.
  • Handle: RePEc:inm:orinte:v:37:y:2007:i:2:p:163-175
    DOI: 10.1287/inte.1060.0225
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.1060.0225
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.1060.0225?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. S. Lipovetsky, 2009. "Global Priority Estimation in Multiperson Decision Making," Journal of Optimization Theory and Applications, Springer, vol. 140(1), pages 77-91, January.
    2. Bruce Golden & Linus Schrage & Douglas Shier & Lida Anna Apergi, 2021. "The power of linear programming: some surprising and unexpected LPs," 4OR, Springer, vol. 19(1), pages 15-40, March.

    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:orinte:v:37:y:2007:i:2:p:163-175. 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.