Abstract
We analyzed economic, operational, and programmatic data from Air National Guard and active duty F-16C/D fighter wings in search of explanatory variables that influence a wing's cost per flying hour (CPFH). Using data from the Air Force Total Ownership Cost database and from the Air Force Knowledge Systems database, we evaluated the predictive ability of various operational and programmatic variables, such as aircraft age, average sortie duration, base location, utilization rate, percent engine type, percent block, and previous year's CPFH. Although separate models were required for active duty and Air National Guard units, both regression models incorporated utilization rate, base location, percent block, and percent engine type and appeared to accurately predict an F-16 C/D fighter wing's CPFH.