Assessing Projections of Institutional Training Program Requirements

Abstract

This report describes our initial efforts to develop analytical tools for assessing projections of training program resource requirements. We focused on Recruit Training and the Army's One-Station Unit Training. We considered the relationship between non-prior service accessions and training loads. We found a generally consistent relationship between the two variables; we developed ratios that will enable analysts to forecast training loads given estimates of non- prior service projections. We examined the relationship between manpower programmed in the individual training program elements of the Future Years Defense Program and training workloads. Training workloads by themselves are not good predictors of training manpower, and more research is necessary to identify additional explanatory variables. Ratios of training manpower to training workload have been reasonably stable over time, and analysts can use these ratios to test the reasonableness of projections. We also analyzed the relationship between the amount of operations and maintenance funding and training workloads. As with training manpower and workloads, workload alone is not a good predictor of funding. Furthermore, the ratios of funding to workload tend to vary significantly over time, except for Navy Recruit Training, in which funding per man-year of workload has been stable for a number of years.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1992
Accession Number
ADA260616

Entities

People

  • Walter R. Cooper

Organizations

  • LMI

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Attrition
  • Department Of Defense
  • Economic Forecasting
  • Employment
  • Enlisted Personnel
  • Instructors
  • Logistics Management
  • Maintenance
  • Manpower
  • Marine Corps
  • Military Personnel
  • Personnel Management
  • Regression Analysis
  • Students
  • Trainees
  • Training

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Naval Personnel Management