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Theses/Dissertations

1995

Spare parts--Forecasting

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Aligning Demand For Spare Parts With Their Underlying Failure Mode, Steven D. Kephart, Richard C. Roberts Sep 1995

Aligning Demand For Spare Parts With Their Underlying Failure Mode, Steven D. Kephart, Richard C. Roberts

Theses and Dissertations

Current Air Force demand forecasting systems, DO41 and REALM, assume reparable demand is solely flying hour driven. The purpose of this study is to evaluate the relationship between demands, flying hours, and number of sorties at the work unit code level and improve reparable demand forecasting. A three phase methodology is used to analyze the demand, flying hour, and sortie relationship. The first phase uses multiple regression to determine a relationship at various work unit code levels. Multiple regression provides limited correlation between demands, flying hours, and sorties. The second phase uses Poisson regression to evaluate the integer, count nature …