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The Benchmark Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel

The Benchmark Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel PDF Author: C. Peter Rydell
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 136

Book Description
RAND is helping to design an Enlisted Force Management System (EFMS) for the Air Force. The efms is a decision support system designed to assist managers of the enlisted force in setting and meeting force targets. The system contains computer models that project the force resulting from given management actions, so actions that meet targets can be found. Some of those models analyze separate job specialties (disaggregate models) and others analyze the total enlisted force across all specialties (aggregate models); some models make annual projections (middle-term models) and others monthly projections. The Short-Term Aggregate Inventory Projection Model (SAM) is the component of the EFMS that makes monthly projections (for the rest of the current fiscal year) of the aggregate enlisted force.

The Benchmark Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel

The Benchmark Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel PDF Author: C. Peter Rydell
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 136

Book Description
RAND is helping to design an Enlisted Force Management System (EFMS) for the Air Force. The efms is a decision support system designed to assist managers of the enlisted force in setting and meeting force targets. The system contains computer models that project the force resulting from given management actions, so actions that meet targets can be found. Some of those models analyze separate job specialties (disaggregate models) and others analyze the total enlisted force across all specialties (aggregate models); some models make annual projections (middle-term models) and others monthly projections. The Short-Term Aggregate Inventory Projection Model (SAM) is the component of the EFMS that makes monthly projections (for the rest of the current fiscal year) of the aggregate enlisted force.

Time Series Models for Predicting Monthly Losses of Air Force Enlisted Personnel

Time Series Models for Predicting Monthly Losses of Air Force Enlisted Personnel PDF Author: Marygail K. Brauner
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 108

Book Description


The Robust Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel

The Robust Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel PDF Author: Marygail K. Brauner
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 74

Book Description


Short-term Aggregate Model for Projecting Air Force Enlisted Personnel (SAM)

Short-term Aggregate Model for Projecting Air Force Enlisted Personnel (SAM) PDF Author: C. Peter Rydell
Publisher:
ISBN:
Category : Time-series analysis
Languages : en
Pages : 168

Book Description


Government Reports Annual Index

Government Reports Annual Index PDF Author:
Publisher:
ISBN:
Category : Research
Languages : en
Pages : 1828

Book Description
Sections 1-2. Keyword Index.--Section 3. Personal author index.--Section 4. Corporate author index.-- Section 5. Contract/grant number index, NTIS order/report number index 1-E.--Section 6. NTIS order/report number index F-Z.

Government Reports Announcements & Index

Government Reports Announcements & Index PDF Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1446

Book Description


Developing an Air Force Retention Early Warning System

Developing an Air Force Retention Early Warning System PDF Author: David Schulker
Publisher:
ISBN: 9781977407474
Category : Business & Economics
Languages : en
Pages : 0

Book Description
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.

Foundation of the Force

Foundation of the Force PDF Author: Mark R. Grandstaff
Publisher: Government Printing Office
ISBN: 9780160490415
Category : Business & Economics
Languages : en
Pages : 316

Book Description
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 Struggle for Air Force Independence

The Struggle for Air Force Independence PDF Author: Herman S. Wolk
Publisher: Government Reprints Press
ISBN: 9781931641197
Category : History
Languages : en
Pages : 434

Book Description
This series introduces the core areas of chemical science, covering important concepts in an easy, accessible style. Each title contains a number of experiments and demonstrations, approached through the process of problem, hypothesis, experiment and conclusion. All the books support the QCA schemes of work and contain: definitions of important terms and explanations of key concepts; formulae and word equations; and the periodic table with explanatory notes. This title explores the concepts of the states of matter.

Training Success for U.S. Air Force Special Operations and Combat Support Specialties

Training Success for U.S. Air Force Special Operations and Combat Support Specialties PDF Author: Maria C. Lytell
Publisher:
ISBN: 9780833099280
Category : Business & Economics
Languages : en
Pages : 0

Book Description
The U.S. Air Force's special operations and combat support specialties in the enlisted force are among the highest in demand by the service yet have persistently high rates of attrition in their initial skills training, which is called "technical training" in the Air Force. These high-demand, high-attrition (HDHA) specialties include Combat Control; Explosive Ordnance Disposal; Pararescue; Survival, Evasion, Resistance, and Escape; Special Operations Weather Team; and Tactical Air Control Party. The Air Force has conducted or sponsored several efforts to address training attrition in these specialties over the past several years, yet training attrition remains high. The reasons for high training attrition are interrelated, with size and quality of the recruiting pool, utility of screening tools, and training environment factors all playing a role. This report addresses the broader challenges for implementing new approaches to HDHA specialty recruiting, screening, and development of Air Force candidates, and takes a holistic approach to identifying methods and tools to ll gaps in current processes