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dc.contributor.authorZolla, George
dc.contributor.authorFlanders, Pat
dc.contributor.authorBoex, Tony
dc.date.accessioned2014-04-03T15:32:03Z
dc.date.available2014-04-03T15:32:03Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/10945/40174
dc.description.abstractThis 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.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleWeb-Based Information Management of Maintenance Errors in Aviation Mishapsen_US
dc.typeArticleen_US
dc.contributor.departmentInformation Sciences (IS)


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