The Air Force currently uses an expected value model in the Aircraft Availability Model (AAM) to calculate aircraft availability. However, even with the application of Lean Logistics, the failure/demand rate and the depot repair time are not fixed and the mean value is still used in the model. This research looks at the effect of the magnitude of the variance of the distributions of failure/demand rate and depot repair time. Also, this research evaluates the effect of variable mean failure/demand rates on the variability of aircraft availability. A simulation model was developed which applied the variable failure/demand rates and depot repair times. Aircraft availabilities were calculated and the variances of the aircraft availabilities were computed. From this an ANOVA and paired t-tests were performed on the mean variances to test if the parameters significantly effected the variance of aircraft availability. From these tests, it was found that failure/demand rate variance and the failure/demand rate significantly effected the variance of aircraft availability with possible aircraft availabilities being +/- 10% in some cases.
Investigation Into Aircraft Availability
1995
86 pages
Report
Keine Angabe
Englisch
Logistics Military Facilities & Supplies , Aircraft , Aircraft maintenance , Availability , Inventory analysis , Mathematical models , Computerized simulation , Logistics support , Validation , Logistics management , Probability distribution functions , Comparison , Failure , Analysis of variance , Theses , Repair , Supply depots , Air force operations , Spare parts , Poisson density functions , Flying hours
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