Analysis of C-17 Departure Reliability and Maintenance Metrics

Abstract

This research analyzes twelve independent maintenance variables and one dependent operations variable for three USAF bases. Minitab, version 15, and Excel are used to analyze twelve months of data, from Dec 08-Nov 09. Forward selection stepwise regression and the best-subsets procedure are used to build predictive models of maintenance metrics' effect on homestation departure reliability of C-17 aircraft at Dover, McGuire, and Travis AFBs. The twelve independent maintenance variables are regressed against one output measure, departure reliability. The regression models and validation results indicate regression models selection of maintenance constraints is consistent between departure reliability and three independent variables: Total Not Mission Capable Supply Rate, Hourly Utilization Rate, and Average Number of Aircraft Possessed. The validity of these findings is limited to the time period covered, but may be generalized across C-17 aircraft at single-squadron C-17 bases within AMC.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA526710

Entities

People

  • Vincent M. Jacobs

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Command And Control
  • Data Mining
  • Information Processing
  • Information Science
  • Information Systems
  • Logistics
  • Maintenance
  • Maintenance Management
  • Management Personnel
  • Predictive Modeling
  • Regression Analysis
  • Reliability
  • Spreadsheet Software
  • Statistical Analysis
  • Statistics

Readers

  • Aerospace logistics and air mobility.
  • Environmental Impact Assessment (EIA) of Proposed Air Force Base Actions.
  • Regression Analysis.