Analysis of C-17 Departure Reliability and Maintenance Metrics
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT
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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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