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Over the past ten years, maintenance career fields in the U.S. Air Force have been negatively affected by a series of events that have resulted in an experience shortage. Although there has been an improvement in Total Force manning since 2015, several skill levels are still experiencing shortages. To bridge the experience shortfall, the U.S. Government Accountability Office called for an Air Force retention strategy tailored to retain experienced maintainers. The RAND Corporation was asked to explore whether individual characteristics, economic and geographic factors, and the new Blended Retirement System (BRS) could provide additional insights into what predicts retention of this workforce. This report focuses primarily on aircraft maintenance career fields, with some attention to munitions and logistics career fields as resources permitted. The authors undertake two analytic approaches to examine the underlying determinants of retention. First, they use logistic regression to determine how strongly a variety of individual and environmental characteristics are associated with decisions to reenlist, extend an enlistment, or separate from the Air Force; second, they use RAND's Dynamic Retention Model to estimate how the new BRS will affect maintenance, munitions, and logistics career fields when those in the new system reach retention decision points. The authors find that changes in individual characteristics and environmental variables have improved retention in the maintenance, munitions, and logistics career fields. Although much of what influences retention is beyond the Air Force's control, the authors offer a number of recommendations and identify areas of emphasis that could be exploited.
This report identifies opportunities for optimizing processes and policies in the U.S. Air Force nonrated technical training pipeline and recommends process and policy changes that could improve efficiency at all levels.
A study of how Air Force enlisted personnel helped shape the fi%ture Air Force and foster professionalism among noncommissioned officers in the 195Os.
The USAir Force human capital management (HCM) system is not easily defined or mapped. It affects virtually every part of the Air Force because workforce policies, procedures, and processes impact all offices and organizations that include Airmen and responsibilities and relationships change regularly. To ensure the readiness of Airmen to fulfill the mission of the Air Force, strategic approaches are developed and issued through guidance and actions of the Office of the Deputy Chief of Staff for Manpower, Personnel and Services and the Office of the Assistant Secretary of the Air Force for Manpower and Reserve Affairs. Strengthening US Air Force Human Capital Management assesses and strengthens the various U.S. Air Force initiatives and programs working to improve person-job match and human capital management in coordinated support of optimal mission capability. This report considers the opportunities and challenges associated with related interests and needs across the USAF HCM system as a whole, and makes recommendations to inform improvements to USAF personnel selection and classification and other critical system components across career trajectories. Strengthening US Air Force Human Capital Management offers the Air Force a strategic approach, across a connected HCM system, to develop 21st century human capital capabilities essential for the success of 21st century Airmen.
RAND Project Air Force was tasked with developing a new capability for planners: a retention early warning system (REWS) that alerts policymakers when a subgroup of U.S. Air Force (USAF) military members is at risk for future shortages. The goal of the research project was to develop a forecasting model for retention, operationalized within a prototype decision-support application, that can alert decisionmakers to emerging problems and thus allow them enough time to consider adjusting accession and retention policies before shortages occur. The authors' overall approach to designing the system drew on widely used paradigms for solving data science problems. These paradigms emphasize understanding the business problem, drawing on a wide array of data sources and types, testing several flexible prediction approaches to optimize performance, and operationalizing the information for decisionmaking. To gain an understanding of the data sources that would be desirable for this application, the authors performed an extensive review of the turnover literature and identified gaps in existing USAF data collection efforts.
This book surveys the entire field of body composition as it relates to performance. It includes a clear definition of terminology and a discussion of the various methods for measuring body composition. The authored papers represent a state-of-the-art review of this controversial field and address questions such as: What is a better measure of body compositionâ€"body fat or lean body mass? Does being overweight for one's height really affect performance? The book also addresses the issue of physical appearance as it relates to body fatness and performance. It includes an in-depth discussion of many of the topics of interest to those involved in sports medicine and exercise physiology.