IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-20282-2_17.html
   My bibliography  Save this book chapter

Military Applications of Location Analysis

In: Applications of Location Analysis

Author

Listed:
  • John E. Bell

    (University of Tennessee)

  • Stanley E. Griffis

    (Michigan State University)

Abstract

Over time, the decision-making Decision-making needs of military Military commanders have had a strong influence upon the development of the field of operations research and analytic problem solving. The challenge of correctly positioning military units and resources within a geographical setting has vexed commanders and their staffs for thousands of years. However, it is only in the last 70 years that optimization methods have developed to the point where analysts can apply them to accomplish such goals. Along the way toward solving these narrowly defined military-focused problems, the advancement of the field has benefitted as generalizable techniques are extended beyond their origins to countless non-military applications. For example, military analysts first solved complex problems regarding routes for convoys of ships, code breaking, and materiel allocation mathematically during World War II ultimately leading to the development of linear and mathematical programming techniques by wartime scientists. Location analysis knowledge was similarly benefitted by the war, as commanders required the ability to spatially position munitions to destroy a target and covering a search area to find the enemy. The benefit is reciprocal however, as military strategy and planning since World War II have literally been redefined by the operations research field’s ability to solve larger and more complex problems.

Suggested Citation

  • John E. Bell & Stanley E. Griffis, 2015. "Military Applications of Location Analysis," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Applications of Location Analysis, edition 1, chapter 17, pages 403-433, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-20282-2_17
    DOI: 10.1007/978-3-319-20282-2_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Mumtaz Karatas & Ertan Yakıcı & Abdullah Dasci, 2022. "Solving a bi-objective unmanned aircraft system location-allocation problem," Annals of Operations Research, Springer, vol. 319(2), pages 1631-1654, December.
    2. Mancini, Simona & Gansterer, Margaretha & Triki, Chefi, 2023. "Locker box location planning under uncertainty in demand and capacity availability," Omega, Elsevier, vol. 120(C).

    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:spr:isochp:978-3-319-20282-2_17. 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.