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.