Military Applications of Location Analysis
John E. Bell () and
Stanley E. Griffis ()
Additional contact information
John E. Bell: University of Tennessee
Stanley E. Griffis: Michigan State University
Chapter 17 in Applications of Location Analysis, 2015, pp 403-433 from Springer
Abstract:
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.
Keywords: Location Modeling; Facility Location; Location Analysis; Facility Location Problem; Supply Chain Network (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-20282-2_17
Ordering information: This item can be ordered from
http://www.springer.com/9783319202822
DOI: 10.1007/978-3-319-20282-2_17
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().