OPTIMIZATION MODELS TO SUPPORT A LIMITED OBJECTIVE TEST/EXPERIMENT (LOT/E) OF A BILLET MARKETPLACE FOR ASSIGNING USMC OFFICERS
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Authors
Nganga, Martin K.
Subjects
talent marketplace
primary military occupation specialties
manpower
Marine Corps
USMC
assignment
optimization
weighted sum method
elastic constraint method with hierarchy
mathematical programming
integer programming
efficient frontier
efficient solution
modelling
data collection
data processing
sensitivity analysis
primary military occupation specialties
manpower
Marine Corps
USMC
assignment
optimization
weighted sum method
elastic constraint method with hierarchy
mathematical programming
integer programming
efficient frontier
efficient solution
modelling
data collection
data processing
sensitivity analysis
Advisors
Salmeron-Medrano, Javier
Seagren, Chad W.
Date of Issue
2020-09
Date
Sep-20
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This research investigates how to optimally assign U.S. Marine Corps (USMC) officers to billets. Currently, the USMC relies on monitors to manually develop the assignment solution based on limited information. This leaves the USMC with a suboptimal use of its resources, and with officers whose human capital is not fully developed or who consider attrition. The research shows essential features of a marketplace from other military branches. Emphasis is placed on those features directly related to meeting the billet requirements, the preferences of Marines and Marines' career paths. This marketplace system requires a substantial amount of information from billet owners, monitors, and officers. Data from a subset of the aviation community were collected and processed to develop optimization models that balance two goals: permanent change of station cost, and Marines' priorities. The models are amenable to extensions that consider additional goals and requirements, as data become available. Experimentation shows insightful tradeoffs in the two objectives and provides efficient solutions, which are useful in presenting alternatives.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
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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