Title :
Quantitative Risk Assessment enhances customer trust in aviation
Author :
Hewitt, Jacqueline ; Pham, Jennifer
Author_Institution :
Aviation & Product Safety, Sikorsky Aircraft Corp., Stratford, CT, USA
Abstract :
Safety is fundamental to customer trust in aviation, which demands accident free products and operations. Customer trust in aviation also requires avoiding emergency situations during flight, unscheduled landings, grounding of fleets, disrupted schedules, and other undesirable events. The aviation safety risk management process strives to reduce risk by eliminating or mitigating hazards. This process is shifting from a qualitative approach toward predictive Quantitative Risk Assessment (QRA) based on Life Data Analysis. The mathematical computations of QRA are complex and can be intimidating to non-mathematicians, but the basic elements and interpretation are fairly comprehensible, so even non-mathematicians can benefit from an understanding of the process. This mathematical complexity can lead to misunderstanding and skepticism. Greater understanding and increased application of QRA can enhance safety in aviation and other critical fields, and the history and case studies of the process demonstrate its credibility, usefulness, and effectiveness.
Keywords :
air accidents; air safety; avionics; computational complexity; data analysis; mathematics computing; risk analysis; trusted computing; QRA; accident free operation; accident free product; aviation; aviation safety risk management process; customer trust enhancement; disrupted schedule; emergency situation avoidance; fleets grounding; flight safety; life data analysis; mathematical complexity; mathematical computation; quantitative risk assessment; risk reduction; unscheduled landing; Hazards; Inspection; Maximum likelihood estimation; Predictive models; Risk management; Suspensions; aviation safety risk management; extreme value theory; life data analysis; quantitative risk assessment; rare events;
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2014 Annual
Conference_Location :
Colorado Springs, CO
Print_ISBN :
978-1-4799-2847-7
DOI :
10.1109/RAMS.2014.6798491