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The Wartime Portfolio Selection Problem

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dc.contributor.advisor Hoffman, Karla L.
dc.contributor.author Woodaman, Ronald Frederick Alexander
dc.creator Woodaman, Ronald Frederick Alexander
dc.date.accessioned 2015-07-29T18:42:48Z
dc.date.available 2015-07-29T18:42:48Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/1920/9691
dc.description.abstract This 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.extent 261 pages
dc.language.iso en
dc.rights Copyright 2015 Ronald Frederick Alexander Woodaman
dc.subject Operations research en_US
dc.subject Statistics en_US
dc.subject Computer science en_US
dc.subject approximate dynamic programming en_US
dc.subject dynamic stochastic knapsack problem en_US
dc.subject multi-objective decision analysis en_US
dc.subject sequential decision analysis en_US
dc.subject stochastic integer programming en_US
dc.subject stochastic optimization en_US
dc.title The Wartime Portfolio Selection Problem
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Systems Engineering en
thesis.degree.grantor George Mason University en


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