Projecting Navy officer inventory with data farming
Borozny, Erin E.
Buttrey, Samuel E.
Lucas, Thomas W.
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The Officer Strategic Analysis Model (OSAM) is a powerful entity-based, time-stepped simulation model that takes into account actual officer inventory and allows the application of several types of annual personnel plans and force-shaping policy to project officer end strength and composition. This thesis determines whether OSAM can be modified from its current deterministic version to be a valuable tool for the Navy’s Strategic Resourcing Branch (N100) officer strength planning. This research utilizes experimental design and data farming techniques to grow big data via a stochastic modification of OSAM and applies proven methods of statistical analysis to explore the interactions between natural losses, accession methods, and forced losses. Using analysis of variance and regression tree modeling, the standard deviation from the mean end strength is found to be heavily dependent upon accession method and simulation year.
Reissued 3 Mar 2013 with corrected degree
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.
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