Development of an Effectiveness Planning and Evaluation Model for Air Force Maintenance Organizations.

Abstract

A preliminary effort was made to generate a survey-supported model which would (1) permit periodic evaluation of the performance effectiveness of an Air Force maintenance squadron and (2) highlight equipment and human resource factors which are contributing either positively or negatively to maintenance squadron performance. The model is generated from survey data, collected from a stratified sample of maintenance technicians and their shift supervisors, and processed by means of a stepwise, linear multiple regression statistical package to provide a performance prediction equation. Factors which surface as significant in the equation indicate positive and negative contributions to squadron performance effectiveness. The modeling effort is based on studies with the 82nd Air Training Command Wing at Williams AFB and the 405th Tactical Air Command Wing at Luke AFB, both in Arizona. The model was validated using immediate supervisor ratings of maintenance technician performance in speed and quality of work, averaged across a squadron. Based on the analyses and results of studies covering two maintenance squadrons at Williams AFB and three maintenance squadrons at Luke AFB, the model provides excellent predictions of squadron performance effectiveness and highlights significant contributing factors.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA088061

Entities

People

  • Hewitt H. Young

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Business Administration
  • Data Processing
  • Human Factors Engineering
  • Industrial Engineering
  • Information Processing
  • Maintenance
  • Maintenance Personnel
  • Management Personnel
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Regression Analysis
  • Students
  • Surveys
  • Systems Engineering

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Regression Analysis.