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dc.contributor.authorZolla, George
dc.contributor.authorBoex, Tony
dc.contributor.authorFlanders, Pat
dc.contributor.authorNelson, Doug
dc.contributor.authorTufts, Scott
dc.contributor.authorSchmidt, John K.
dc.date.accessioned2014-03-31T18:19:42Z
dc.date.available2014-03-31T18:19:42Z
dc.date.issued2001
dc.identifier.citationSociety of Automotive Engineers, Inc.
dc.identifier.urihttp://hdl.handle.net/10945/40103
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 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.titleDistributed Maintenance Error Information, Investigation and Interventionen_US
dc.typeArticleen_US


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