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<dl><dd>Thesis advisor, John K. Schmidt</dd>
<dd>Thesis (M.S. in Operations Research) Naval Postgraduate School, June 2000</dd>
<dd>Includes bibliographical references (p. 80)</dd>
<dd>This study investigates human error associated with 599 Naval Aviation maintenance-related mishaps (MRMs) in Fiscal Years 90-99. The Human Factors Analysis and Classification System Maintenance Extension (HFACS-ME) taxonomy was utilized to classify contributory human errors within a robust theoretical framework. Variable Poisson process models are developed to predict MRMs and relationships between the error dimensions are investigated. The results of this study show that the HFACS-ME taxonomy provides an adequate framework for the classification of MRM causal factors; that variable Poisson process models are suitable for predicting future mishaps, and that there are significant relationships between selected causal dimensions; sufficient to warrant further investigation. These results provide information regarding the predicted impact of MRMs on future operational readiness and mission capability. Through being aware of these aspects, decision-makers are armed with the knowledge to make better decisions concerning the preservation and allocation of the resources at their disposal</dd>
<dd>System requirements: Adobe Acrobat reader</dd>
<dd>dk/dk cc:9116 09/07/00</dd></dl><br>Subjects:</div>
<div class="fn value">
Fry, Ashley D.</div>
Internet Archive identifier