Web-Based Information Management of Maintenance Errors in Aviation Mishaps
Abstract
This paper describes a safety information management system designed to
capture maintenance factors that contribute to aircraft mishaps. The Human
Factors Analysis and Classification System-Maintenance Extension taxonomy
(HFACS-ME), an effective framework for classifying and analyzing the
presence of maintenance errors that lead to mishaps, incidents, and personal
injuries, is the theoretical foundation. An existing desktop mishap application is
updated, a prototype web-based model is developed, data-mining techniques are
discussed and an Asynchronous Distributed Learning (ADL) module is
conceptualized. These tools facilitate data collection, organization, query,
analysis, and the reporting of maintenance errors that contribute to aviation
mishaps. Together they represent a complete, robust system for analyzing
aircraft maintenance mishap related factors anywhere at anytime.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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