Prioritizing Safety Critical Human and Organizational Factors of EER Systems of Offshore Installations in a Harsh Environment
This paper introduces a methodology for identifying critical human and organizational factors in the escape, evacuation and rescue (EER) systems of offshore installations in a harsh environment. To elucidate the complex dependence of human and organizational factors on risky incidents, this methodology uses a Bayesian network (BN) and a sensitivity analysis to assess the criticality of these factors. As a case study, the methodology is applied to the activation of an emergency alarm and considers the consequences introduced because of a harsh environment. The results of the case study show that the probability of success for personnel to become aware of an emergency alarm is most likely affected by noise due to strong wind. Using the proposed methodology, the probability calculations include the human and organizational factors that stem from the organizational level and extend to the evacuation procedures, emergency equipment, and personnel to provide a more practical result than the probabilities estimated by expert judgements.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Norazahar, Norafneeza
- Khan, Faisal
- Veitch, Brian
- MacKinnon, Scott
- Publication Date: 2017-6
Language
- English
Media Info
- Media Type: Print
- Features: References;
- Pagination: pp 171-181
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Serial:
- Safety Science
- Volume: 95
- Publisher: Elsevier
- ISSN: 0925-7535
- Serial URL: http://www.sciencedirect.com/science/journal/09257535
Subject/Index Terms
- TRT Terms: Aerodynamic noise; Alarm systems; Emergencies; Emergency equipment; Evacuation; Noise sources; Offshore structures
- Subject Areas: Marine Transportation; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01636570
- Record Type: Publication
- Files: TRIS
- Created Date: May 26 2017 11:32AM