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dc.contributor.advisorCraparo, Emily
dc.contributor.advisorAlt, Jonathan
dc.contributor.authorRadke, Gretchen M.
dc.dateJun-15
dc.date.accessioned2015-08-05T23:06:00Z
dc.date.available2015-08-05T23:06:00Z
dc.date.issued2015-06
dc.identifier.urihttp://hdl.handle.net/10945/45927
dc.description.abstractThe United States Special Operations Command (USSOCOM) J8 directorate is responsible for planning long-range capital expenditure for Special Operations Forces (SOF). In executing its mission as the designer of the future SOF, the USSOCOM J8 uses the Long-Range Capital Planning Toolkit (LRCPT) to compare total obligation authority to projected investments over a 30-year time horizon. The LRCPT allows USSOCOM to change project and resource category parameters to analyze the effects on available procurement and research, development, test, and evaluation allocations. This what if analysis allows for course-of-action comparison and helps USSOCOM visualize resource impacts, but the LRCPT does not provide an optimized program portfolio. The goal of this thesis is to improve the LRCPT by developing proof-of-principle optimization models for long-range capital planning. We present three linear optimization models: (1) the Binary Knapsack model, (2) the Weighted Goal Programming model, and (3) the Weighted Goal Programming with Platform Tracking model. These models can be incorporated into the LRCPT to provide USSOCOM with an efficient method for optimizing long-term procurement planning, ensuring there are no SOF capability gaps over the 30-year horizon.en_US
dc.description.urihttp://archive.org/details/optimizinglongte1094545927
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleOptimizing long-term capital planning for Special Operations Forcesen_US
dc.typeThesisen_US
dc.contributor.secondreaderBradford, Robert
dc.contributor.departmentOperations Research
dc.contributor.departmentOperations Researchen_US
dc.subject.authorSpecial Operations Forces,optimizationen_US
dc.subject.authorUnited States Special Operations Commanden_US
dc.subject.authorcapital planningen_US
dc.subject.authormodernizationen_US
dc.subject.authorBinary Knapsack Modelen_US
dc.subject.authorBounded Integer Knapsack Modelen_US
dc.subject.authorinteger programmingen_US
dc.subject.authorweighted goal programmingen_US
dc.subject.authorUSSOCOMen_US
dc.subject.authorSOCOMen_US
dc.subject.authorSOFen_US
dc.description.serviceMajor, United States Armyen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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