Projecting Navy officer inventory with data farming
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Authors
Borozny, Erin E.
Subjects
data farming
big data
design of experiments
manpower
officer inventory
manning projection
end strength
simulation
big data
design of experiments
manpower
officer inventory
manning projection
end strength
simulation
Advisors
Buttrey, Samuel E.
Date of Issue
2015-09
Date
Sep-15
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
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.
Type
Thesis
Description
Reissued 3 Mar 2013 with corrected degree
Series/Report No
Department
Operations Research
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This 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.