The current USAF process for establishing intervals between C-130 PDM does not account for the wide range of aircraft variables within each aircraft MDS. This paper develops a model, based on five unique aircraft variables, to provide C-130 maintainers with a prediction tool to forecast when a C-130 aircraft requires PDM. These five variables include: aircraft age, total flying hours, average yearly flying hours, mission profile (expressed as a severity factor), and operating location of the aircraft. Interviews with C-130 SPO personnel, combined with use of the C-130 Service Life Data Base, provided the required data to develop the C-130 PDM interval model. The C-130 PDM interval model developed in this paper allows maintainers and operators to predict the optimum time between C-130 PDM activities. It eliminates the requirement to base PDM intervals on aircraft MDS. As a result, there is a potential for significant savings by deferring PDM for a portion of the C-130 fleet. Finally, the PDM interval model developed in this paper may be applicable for other DOD aircraft which use aircraft MDS as the determinant of PDM intervals.
Critical Examination of C-130 Programmed Depot Maintenance (PDM) induction Methodology: Determining PDM Intervals
1997
36 pages
Report
Keine Angabe
Englisch
Aircraft , Logistics Military Facilities & Supplies , Aircraft maintenance , Supply depots , Maintenance management , Induction systems , Methodology , Military requirements , Optimization , Aging(Materials) , Predictions , Logistics management , Mission profiles , Forecasting , Variables , Flight , Military research , Life cycle costs , Air force facilities , Range(Extremes) , Aircraft models , Transport aircraft , Intervals , Life cycle management , C-130 aircraft , Pdm(Programmed depot maintenance)
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