Selection Strategy for Identification of Process Measures forSurveillance in Aviation

摘要

Inspection and maintenance errors that occur in aircraft maintenance systems have a formidable impact on the safetyrnand reliability of air transportation. Evaluation of the aircraft maintenance system requires an analysis of thernmaintenance processes in use. The systematic evaluation of data collected on the aviation maintenance process canrnprovide management with feedback on the performance of the airline and consequently provide proactive support ofrnthe decision-making process prior to the dispatch of the aircraft. Recognizing that surveillance, auditing andrnairworthiness directives form a significant portion of the quality assurance function of an airline, it is critical thatrndata be collected on these processes. Significant efforts have been made to investigate and track inspection andrnmaintenance errors. Although valuable in terms of their contributions to the identification of the performanceshapingrnfactors that lead to maintenance errors, these efforts have tended to be reactive in nature. Surveillance has arnmore practical bearing on the maintenance of aircraft. Process measures for surveillance was identified by thernresearch team based on human-factor principles, utility of data being captured, and working around mental modelsrnof quality assurance personnel. This research establishes the identification strategy the research team adopted tornfinalize the process measures for surveillance.