Book/Printed Material U.S. Air Force enlisted classification and reclassification : potential improvements using machine learning and optimization models United States Air Force enlisted classification and reclassification

Title

• U.S. Air Force enlisted classification and reclassification : potential improvements using machine learning and optimization models

Other Title

• United States Air Force enlisted classification and reclassification

Summary

• Recent trends in initial skills training (IST) for Air Force specialties (AFSs) indicate that the number of United States Air Force (USAF) enlisted personnel reclassified into other occupational specialties has increased in recent years, with a steady rise having occurred between fiscal years 2013 and 2017. Career field reclassification can result in a wide range of negative outcomes, including increased costs, delayed manning, training schedule challenges, and decreased morale. To understand and address the challenge of IST reclassification, the authors considered options for improving processes to classify and reclassify enlisted active-duty, non-prior service airmen for IST. In this report, they outline key findings from a 2019 study that employed qualitative and quantitative analyses, including machine learning (ML) models, to assess predictors of IST success (and failure). They also describe their test of an optimization model designed to identify opportunities for revising reclassification decisions in order to not only reduce the numbers of reclassified airmen but also to achieve greater job satisfaction and productivity for airmen and improve USAF retention rates.

Names

• Robson, Sean, author
• Lytell, Maria C., 1979- author
• Project Air Force (U.S.)
• Rand Corporation
• United States. Department of the Air Force

Created / Published

• Santa Monica, CA : RAND Corporation, [2022]

Contents

• Chapter One: Introduction and Background -- Chapter Two: Air Force Classification and Reclassification Processes -- Chapter Three: Data Available for Predicting Air Force Training and Career Outcomes -- Chapter Four: Models to Predict Success -- Chapter Five: Optimization Model for Reclassifying Training Eliminations -- Chapter Six: Airmen Experiences in Initial Skills Training for Select Specialties -- Chapter Seven: Conclusions and Recommendations -- Appendix A: Defining and Measuring Success in Personnel Selection -- Appendix B: Descriptive Statistics and Analytic Modeling Results -- Appendix C: Optimization Model Methodology -- Appendix D: Focus Group Methodology.

Headings

• -  United States.--Air Force--Airmen--Classification
• -  United States.--Air Force--Airmen--Training of
• -  United States.--Air Force--Occupational specialties
• -  United States.--Air Force--Personnel management
• -  Armed Forces--Occupational specialties
• -  Military education--United States

Notes

• -  Title from PDF document (title page; viewed March 9, 2022)
• -  "Prepared for the Department of the Air Force"
• -  "RAND PROJECT AIR FORCE"
• -  Minimal Level Cataloging Plus.
• -  Also available on the Internet as a PDF file.
• -  Includes bibliographical references (pages 120-126).
• -  Description based on electronic resource
• -  Description based on print version record; resource not viewed.

Medium

• 1 online resource (xvi, 126 pages) : illustrations.

Call Number/Physical Location

• MLCM 2024/41380 (U)

Digital Id

• https://hdl.loc.gov/loc.gdc/gdcebookspublic.2024739292

Library of Congress Control Number

• 2024739292

Rights Advisory

• This is non-restricted, fully open content that may be accessed on and off of the Library of Congress campus, with no restrictions, by an unlimited number of users

Access Advisory

• Unrestricted online access

Online Format

• image
• pdf

LCCN Permalink

• https://lccn.loc.gov/2024739292

Additional Metadata Formats

• MARCXML Record
• MODS Record
• Dublin Core Record