Publication:
THE U.S. ARMY MEDICAL SERVICE CORPS AREA OF CONCENTRATION MATCHING SYSTEM

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Authors
Rincon, Diego A.
Subjects
Medical Service Corps
AOC Designation
Talent Management
job assignment
Job Aptitude Prediction
matching
Advisors
Bassett, Robert L.
Date of Issue
2020-09
Date
Sep-20
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The purpose of this study is to develop an algorithm-based talent management system for designating midgrade U.S. Army Medical Service Corps (MSC) officers to specialized areas of concentration (AOCs). The AOC matching system (AOC-MS) utilizes machine learning classifiers to predict officer aptitude for specialized AOCs, informing early career MSC recruitment and talent development efforts. AOC-MS then utilizes matching algorithms and integer linear programs to create optimal matches between officers and AOCs that meet the needs of officers and of the MSC. During a pilot program, AOC-MS outperformed the current designation system. This study will serve as the basis for MSC AOC designation reform. Its implications are applicable to any large-scale military talent management problem.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Other Units
Identifiers
NPS Report Number
Sponsors
Funder
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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
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