The correct choice of a capability assessment model is vital in acquiring an accurate assessment of a weapon systems' wartime capability. Studies have demonstrated that the best logistical estimator of aircraft capability is the number of Fully Mission Capable (FMC) aircraft available for use in a wartime scenario. The AFLC/XRPA Logistics Requirements Analysis Model (LOGRAM) estimates weapon system capability by estimating aircraft availability based on the percentage of wartime spares requirements provided by estimated on hand assets. Dyna-METRIC, however, estimates aircraft availability based on the number of FMC aircraft for a given stockage position. A LOGRAM data base was evaluated using Dyna-METRIC to determine differences in aircraft availability estimates. Dyna-METRIC produced a lower estimate of aircraft availability than did the LOGRAM model. Research indicated that a mixed model, using LOGRAM to develop the data base and Dyna-METRIC to provide the aircraft availability estimates would provide a blend of the strong points of each model. (Author)


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