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dc.contributor.advisorHorne, Gary
dc.contributor.advisorSeagren, Chad
dc.contributor.authorSibley, Christy N.
dc.dateMar-12
dc.date.accessioned2012-05-14T18:56:05Z
dc.date.available2012-05-14T18:56:05Z
dc.date.issued2012-03
dc.identifier.urihttp://hdl.handle.net/10945/6868
dc.description.abstractThe Navys Strategic Planning and Analysis Directorate (OPNAV N14) uses a complex model to project officer status in the coming years. The Officer Strategic Analysis Model (OSAM) projects officer status using an initial inventory, historical loss rates, and dependent functions for accessions, losses, lateral transfers, and promotions that reflect Navy policy and U.S. law. OSAM is a tool for informing decision makers as they consider potential policy changes, or analyze the impact of policy changes already in place, by generating Navy Officer inventory projections for a specified time horizon. This research explores applications of data farming for potential improvement of OSAM. An analysis of OSAM inventory forecast variations over a large number of scenarios while changing multiple input parameters enables assessment of key inputs. This research explores OSAM through applying the principles of design of experiments, regression modeling, and nonlinear programming. The objectives of this portion of the work include identifying critical parameters, determining a suitable measure of effectiveness, assessing model sensitivities, evaluating performance across a spectrum of loss adjustment factors, and determining appropriate values of key model inputs for future use in forecasting Navy officer inventory.en_US
dc.description.urihttp://archive.org/details/analyzingnavyoff109456868
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleAnalyzing Navy Officer Inventory Projection Using Data Farmingen_US
dc.typeThesisen_US
dc.contributor.secondreaderSoutter, Paul
dc.contributor.departmentOperations Research
dc.subject.authordata farmingen_US
dc.subject.authordesign of experimentsen_US
dc.subject.authormanpoweren_US
dc.subject.authorofficer inventoryen_US
dc.subject.authormanning forecasten_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceLieutenant, United States Navyen_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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