Productivity Measurement in Aircraft Maintenance Organizations

Abstract

This research was undertaken to explore productivity measurement in aircraft maintenance units and to examine the relationships of the measures used to evaluate a unit's productivity. Review of current literature and regulatory guidance concerning productivity measurement provided the basis for the development of an interview questionnaire. A questionnaire was administered to DCMs and chiefs of analysis at ten MAC wings. Additionally, managers in the maintenance management, cost and manpower divisions at Headquarters MAC were interviewed. From these interviews, information concerning current productivity measurement methodology was gathered and thirteen measures were identified for analysis. Of the thirteen measures evaluated, eight produced the strongest explainable model reflecting maintenance productivity. Manhours per flying hour was the predominant output when viewed as a result of the influence of mission capable rates and maintenance scheduling effectiveness. Cannibalization rates, delayed discrepancies (both awaiting parts and awaiting maintenance) and the average number of aircraft possessed were the inputs which appeared to contribute most significantly to mission capable rates and maintenance scheduling effectiveness. Keywords: Aircraft maintenance, Military airlift command, Productivity measures, Productivity, Theses.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA229239

Entities

People

  • Billy J. Gililland

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Maintenance
  • Aircrafts
  • Business Administration
  • Cannibalization
  • Commerce
  • Data Analysis
  • Engineering
  • Logistics
  • Maintenance
  • Maintenance Management
  • Management Personnel
  • Measurement
  • Organizational Structure
  • Personnel Management
  • Regression Analysis
  • Reliability

Readers

  • Logistics and Supply Chain Management.
  • Mathematics or Statistics
  • Organizational Process Management (OPM).