A Simulation Analysis of Work Based Navy Manpower Requirements

Approved for public release; distribution is unlimited === This thesis examines an alternative to current processes in use for developing enlisted manpower requirements aboard Navy surface ships. This research proposes a proof of concept for utilizing simulation in manpower requirements generation b...

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Main Author: Carlton, Edward A.
Other Authors: Seagren, Chad W.
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/17332
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-173322015-08-06T16:03:02Z A Simulation Analysis of Work Based Navy Manpower Requirements Carlton, Edward A. Seagren, Chad W. Szechtman, Roberto Operations Research Approved for public release; distribution is unlimited This thesis examines an alternative to current processes in use for developing enlisted manpower requirements aboard Navy surface ships. This research proposes a proof of concept for utilizing simulation in manpower requirements generation by examining data obtained from simulation models of the underway workload of two divisions aboard an Arleigh Burke-class destroyer. Given current manpower levels in CF and EA divisions, a mean work backlog of 1.449 tasks and 0.21 tasks, respectively, is observed when simulating a week of underway activity. The resulting data is then used to create a regression model with the amount of work backlog as a response variable. The predicted values of work backlog are then plotted against increasing division sizes to provide insight to manpower planners on possible effects of changing manpower requirement levels. The models generated indicate division personnel size and maintenance arrival rates are statistically significant in CF division and maintenance arrival rates and work times are significant in a model of EA division. This process supports the further use of simulation modeling when constructing ship manning documents for future ship classes. 2012-11-14T00:02:18Z 2012-11-14T00:02:18Z 2012-09 Thesis http://hdl.handle.net/10945/17332 Monterey, California. Naval Postgraduate School
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sources NDLTD
description Approved for public release; distribution is unlimited === This thesis examines an alternative to current processes in use for developing enlisted manpower requirements aboard Navy surface ships. This research proposes a proof of concept for utilizing simulation in manpower requirements generation by examining data obtained from simulation models of the underway workload of two divisions aboard an Arleigh Burke-class destroyer. Given current manpower levels in CF and EA divisions, a mean work backlog of 1.449 tasks and 0.21 tasks, respectively, is observed when simulating a week of underway activity. The resulting data is then used to create a regression model with the amount of work backlog as a response variable. The predicted values of work backlog are then plotted against increasing division sizes to provide insight to manpower planners on possible effects of changing manpower requirement levels. The models generated indicate division personnel size and maintenance arrival rates are statistically significant in CF division and maintenance arrival rates and work times are significant in a model of EA division. This process supports the further use of simulation modeling when constructing ship manning documents for future ship classes.
author2 Seagren, Chad W.
author_facet Seagren, Chad W.
Carlton, Edward A.
author Carlton, Edward A.
spellingShingle Carlton, Edward A.
A Simulation Analysis of Work Based Navy Manpower Requirements
author_sort Carlton, Edward A.
title A Simulation Analysis of Work Based Navy Manpower Requirements
title_short A Simulation Analysis of Work Based Navy Manpower Requirements
title_full A Simulation Analysis of Work Based Navy Manpower Requirements
title_fullStr A Simulation Analysis of Work Based Navy Manpower Requirements
title_full_unstemmed A Simulation Analysis of Work Based Navy Manpower Requirements
title_sort simulation analysis of work based navy manpower requirements
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/17332
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