A Q-GERT Analysis of the Effect of Improved Automatic Testing on F-16 Aircraft Availability.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTIC S
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Weapon systems and their associated maintenance task complexity have exceeded the limited technical capabilities of todays maintenance personnel. The present maintenance philosophy which relies heavily on Automatic Test Equipment ATEto narrow this complexity-capability gap hes several shortcomings. Primarily, the false pull of properly functioning units and the false alarms of Built-in-Test equipment BITE result in increased maintenance actions, costs, and aircraft downtime. Implementing systems theory through the Systems Science Paradigm, the authors developed a Q-GERT model of the F-16 maintenance diagnostic process via a queueing scenario of the F-16 Low Power Radio Frequency LPRF repair cycle. F-16 Centralized Data System CDS data input to the model showed that a simulation model is representative of the actual repair process. Sensitivity analysis indicated that reduced diagnostic error rates significantly affect the time required to generate F-16 aircraft to an operationally ready state. Increased emphasis toward decreasing false alarms and false pulls was recommended. Author
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- Operations Research