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
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)
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