A Markov Model for Marine Corps Acquisition Force Planning

Download
Author
Nicholson, Chris L.
Date
2012-06Advisor
Seagren, Chad W.
Second Reader
Hatch, Bill
Metadata
Show full item recordAbstract
This research is in response to a request by the Marine Aviation Detachment at Naval Air Station Patuxent River, MD. Currently, no manpower planning tools exist for force shaping of the Marine Corps Acquisition Community. This thesis creates a force shaping and forecasting tool for Marine Corps manpower planners. The tool assists planners in forecasting inventory levels across rank and Military Occupational Specialty combinations and in determining the most robust force structure for the acquisition officer community. Validation of the model reveals the usefulness of the planning tool for forecasting inventory levels, but it also indicates weakness in force structure analysis. This weakness is due to the small size and nascency of the current community, further data collection is required to validate the model for future use in force structure development.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Forecasting Marine Corps enlisted losses
Orrick, Sanford C. (Monterey, California. Naval Postgraduate School, 2008-03);The Marine Corps has recently been authorized to increase end strength by approximately 20,000 Marines over the next 3 years. This has made forecasting of attrition an even more vital part of manpower planning. In order ... -
An evaluation of artificial neural network modeling for manpower analysis
Byrne, Brian James. (Monterey, California. Naval Postgraduate School, 1993-09);This thesis evaluates the capabilities of artificial neural networks in forecasting the take-rates of the Voluntary Separations Incentive/Special Separations Benefit (VSI/SSB) programs for male, Marine Corps Enlisted ... -
Forecasting Marine Corps enlisted attrition through parametric modeling
Hall, Jeremy T. (Monterey, California. Naval Postgraduate School, 2009-03);The Marine Corps, as with any organization with a large workforce, must accurately monitor and more importantly predict the transition rates among personnel entering and exiting the enlisted and officer ranks. This ...