In today's environment of less manning, older aircraft, and a shrinking budget, it is imperative maintenance leaders utilize all available tactics, techniques and procedures to improve the amount of aircraft available for operations. One of the longstanding measuring sticks to gauge a unit's effectiveness was and still is the Mission Capable (MC) rate. According to AFI 21-103, the MC rate is fully mission capable hours plus partial mission capable hours divided by possessed hours. This formula provides a rate which is a lagging indicator of how well a unit is performing. Although this metric is very valuable, it focuses more on the tactical-level of operations and does not include total aircraft inventory into the equation. There's been a major shift toward utilizing Aircraft Availability (AA) as the measuring stick to gauge how well the 'fleet' is performing. The ability to predict AA within a fleet has always been a goal of Aircraft Maintenance leaders and is now more important than ever with looming budget cuts across the spectrum of defense. This graduate research paper focuses on developing an explanatory/predictive model for AA encompassing the variables with the greatest influence upon this dependent variable.


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    Titel :

    Predicting Aircraft Availability


    Beteiligte:
    M. A. Chapa (Autor:in)

    Erscheinungsdatum :

    2013


    Format / Umfang :

    79 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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