IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Applying Probabilistic Risk Assessment to Safety Risk Analysis in Aviation

Applying Probabilistic Risk Assessment to Safety Risk Analysis in Aviation
View Sample PDF
Author(s): Poornima Balakrishna (Saab Sensis Corporation, USA), Sherry Smith Borener (Federal Aviation Administration, USA), Ian Crook (ISA Software LLC, USA), Alan Durston (Saab Sensis Corporation, USA)and Mindy J. Robinson (Federal Aviation Administration, USA)
Copyright: 2016
Pages: 23
Source title: Analyzing Risk through Probabilistic Modeling in Operations Research
Source Author(s)/Editor(s): Dariusz Jacek Jakóbczak (Technical University of Koszalin, Poland)
DOI: 10.4018/978-1-4666-9458-3.ch013

Purchase

View Applying Probabilistic Risk Assessment to Safety Risk Analysis in Aviation on the publisher's website for pricing and purchasing information.

Abstract

When making policy, procedural, or technological changes to a complex system that has safety implications, a key question decision makers must answer is: What are the risks to the users of the system that will result from making these changes to the system? This chapter illustrates a method to explore different facets of this question using mathematical modeling and probabilistic risk assessment techniques, with the objective of assessing the safety impact of changes to the National Airspace System that follow from the Federal Aviation Administration's next generation air traffic modernization program. The authors describe the development of an Integrated Safety Assessment Model as a structured approach to evaluating current and emerging risks in National Airspace System operations. This process addresses the previously stated risk question by combining fault tree and event sequence diagram modeling techniques, hazard identification and analysis methods, opinions from subject matter experts, and concepts from business intelligence.

Related Content

Sonal Linda. © 2024. 24 pages.
Yasmin Yousaf Mossa, Peter Smith, Kathleen Ann Bland. © 2024. 40 pages.
Ugochukwu Okwudili Matthew, Jazuli Sanusi Kazaure, Charles Chukwuebuka Ndukwu, Godwin Nse Ebong, Andrew Chinonso Nwanakwaugwu, Ubochi Chibueze Nwamouh. © 2024. 29 pages.
Shruti Jose, Priyakrushna Mohanty. © 2024. 20 pages.
Richa Srishti. © 2024. 15 pages.
Aleksei Alipichev, Liudmila Nazarova, Yana Chistova. © 2024. 21 pages.
Mustafa Öztürk Akcaoğlu, Burcu Karabulut Coşkun. © 2024. 18 pages.
Body Bottom