Processing and Classification of Enlistees (PACE) System Payoff Algorithm Development.

Abstract

The Processing and Classification of Enlistees (PACE) is a post-enlistment system that classifies nonprior-service enlistees during Basic Military Training. The current system lacks flexibility and is driven largely by short-term priorities. Therefore, the system is being enhanced to be more responsive and easy to use. The enhancement involves the development of a mathematical model called a payoff algorithm. The payoff algorithm uses information from personnel files and job files to generate a payoff (a numerical value) that indicates the worth to the Air Force of classifying a particular person into a particular job. The new PACE classification system will address management concerns (time, money, and fill priority) by classifying personnel more efficiently and address personnel concerns (aptitude, interests, and trainability) by classifying more effectively. Keywords: Policies

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA191659

Entities

People

  • Daniel L. Leighton
  • Manuel Pina Jr.
  • Mark S. Emerson
  • William Cummings

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Personnel
  • Algorithms
  • Computers
  • Enlisted Personnel
  • Mainframe Computers
  • Mathematical Models
  • Military Personnel
  • Military Training
  • Personnel Management
  • Personnel Selection
  • Procurement
  • Recruiting
  • Recruits
  • Trainees
  • Training

Fields of Study

  • Education

Readers

  • Economics
  • Naval Personnel Management
  • Neural Network Machine Learning.