The Wartime Portfolio Selection Problem

Simple item page
dc.contributor.advisorHoffman, Karla L.
dc.contributor.authorWoodaman, Ronald Frederick Alexander
dc.creatorWoodaman, Ronald Frederick Alexander
dc.date.accessioned2015-07-29T18:42:48Z
dc.date.available2015-07-29T18:42:48Z
dc.date.issued2015
dc.description.abstractThis thesis describes the research conducted to support the optimal selection of a portfolio of military solutions during wartime. During peacetime, the United States military selects a portfolio of military solutions holistically as part of an annual budgetary planning cycle supported by long-term planning. During wartime, this annual review and decision process is not responsive to the rapid cycles of battlefield adaptation and the resulting exploitation of opposing capability gaps by adversaries. The long-running vulnerability of U.S. forces in Iraq and Afghanistan to Improvised Explosive Device (IED) attacks, as the threat's tactics and techniques evolved during these conflicts, provides a poignant example. During conflict, opportunities to improve the force arrive irregularly over time and are difficult to anticipate. When potential solutions are identified, these must be rapidly pursued, subject to resource constraints. Bad decisions early rob resources from better opportunities that arrive later, while good opportunities unduly delayed may lead to lost opportunities on the battlefield.
dc.format.extent261 pages
dc.identifier.urihttps://hdl.handle.net/1920/9691
dc.language.isoen
dc.rightsCopyright 2015 Ronald Frederick Alexander Woodaman
dc.subjectOperations research
dc.subjectStatistics
dc.subjectComputer science
dc.subjectApproximate dynamic programming
dc.subjectDynamic stochastic knapsack problem
dc.subjectMulti-objective decision analysis
dc.subjectSequential decision analysis
dc.subjectStochastic integer programming
dc.subjectStochastic optimization
dc.titleThe Wartime Portfolio Selection Problem
dc.typeDissertation
thesis.degree.disciplineSystems Engineering
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Woodaman_gmu_0883E_10809.pdf
Size:
11.23 MB
Format:
Adobe Portable Document Format
Download

Collections

College of Engineering and Computing