Applying evidential reasoning extended SPAR-H modelling to analyse human reliability on crude oil tanker cargo operation
Human reliability analysis is essential to predict ship crew performance at the operation level for critical shipboard operations which pose a high risk. Specifically, the crew who are working on tanker ships has to be extra vigilant against the hazardous nature of the cargo. This paper performs a detailed human reliability analysis step by step for cargo discharging operations in crude oil tankers. To achieve this purpose, a Standardized Plant Analysis Risk Human Reliability Analysis (SPAR-H) extended by the Evidential Reasoning (ER) approach is used to systematically predict the probability of human errors. While SPAR-H provides a robust tool to calculate human error probability simultaneously, the ER fuses raters’ opinions in decision-making. The finding of the research shows that the overall human reliability is found at 6.52E-01 for cargo discharging operations in crude oil tankers. Besides its practical contributions to maritime crude oil transportation, the proposed approach presents how a comprehensive insight into human reliability can be gained.
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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:
- © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Elidolu, Gizem
- Ahn, Sung Il
- Sezer, Sukru Ilke
- Kurt, Rafet Emek
- Akyuz, Emre
- Gardoni, Paolo
- Publication Date: 2023-8
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 106169
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Serial:
- Safety Science
- Volume: 164
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0925-7535
- Serial URL: http://www.sciencedirect.com/science/journal/09257535
Subject/Index Terms
- TRT Terms: Crude oil; Human error; Marine safety; Oil tankers; Personnel performance; Ship crews
- Subject Areas: Marine Transportation; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01882313
- Record Type: Publication
- Files: TRIS
- Created Date: May 22 2023 1:28PM