The Department of Defense (DoD) is improving the procedures for identifying, advocating, allocating funding, and accomplishing facility requirements to improve the readiness capability to support the mission. The purposes of this research were to fully explore the methodologies employed by the Air Force (AF) and try to capitalize on industry standard practices to improve the AF methods. Industry has conducted extensive research devoted to the development of predictive models to estimate facility maintenance or sustainment requirements. The DoD and the AF have already implemented the facility sustainment model (FSM) to predict facility sustainment requirements; now however, they are struggling with a justifiable methodology for predicting facility repair or restoration requirements. This research used statistical stepwise regression with historical AF facility requirement cost data for the last five years, in an attempt to develop a predictive model. The analysis results were not significant and did not result in an accurate predictive model, but the methodology and background research did produce some positive results. Observations regarding AF facility requirement reporting tools were identified and recommendations for improved integration were made in the research
