Overview
- Proposes a method to perform dynamic probabilistic risk assessment of Complex Marine Systems
- Analyses and discusses lessons learnt from numerous different dynamic positioning incidents
- Explains and models the decision-making process through multiple informative illustrations
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems.
The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested.
This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.
Authors and Affiliations
About the authors
Dr Tarannom Parhizkar is a scientist in the B. John Garrick Institute for the Risk Sciences, at University of California, Los Angeles (UCLA). Dr. Parhizkar has worked on modeling of complex systems and performance optimization since 2010. She has an extensive background and experience both in academia and industry, addressing complex challenges encountered in risk assessment and management practices.
Professor Ingrid Bouwer Utne at Department of Marine Technology at the Norwegian University of Science and Technology (NTNU) is an affiliated scientist in the Centre of Excellence on Autonomous marine operations and systems. Dr. Utne has worked with risk analysis for more than 15 years in research and industry and has contributed to several research papers and books in the area.Professor emeritus Jan Erik Vinnem has worked with offshore risk assessment since late 1970s in industry, consultancy, research, education and has authored several hundred papers on this topic. He has published “Offshore Risk Assessment (1-4 Ed)” with Springer.
Bibliographic Information
Book Title: Online Probabilistic Risk Assessment of Complex Marine Systems
Book Subtitle: Principles, Modelling and Applications
Authors: Tarannom Parhizkar, Ingrid B. Utne, Jan-Erik Vinnem
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-030-88098-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-88097-2Published: 27 November 2021
Softcover ISBN: 978-3-030-88100-9Published: 28 November 2022
eBook ISBN: 978-3-030-88098-9Published: 26 November 2021
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XIII, 162
Number of Illustrations: 33 b/w illustrations, 57 illustrations in colour
Topics: Risk Management, Offshore Engineering, Operations Research/Decision Theory