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Determination of human error probabilities for the maintenance operations of marine engines
Citation
Islam, R and Abbassi, R and Garaniya, V and Khan, FI, Determination of human error probabilities for the maintenance operations of marine engines, Journal of Ship Production and Design, 32, (2) pp. 1-9. ISSN 8756-1417 (2016) [Refereed Article]
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DOI: doi:10.5957/JSPD.32.2.150004
Abstract
Human error is a crucial factor in the shipping industry and not to mention numerous human errors occur during the maintenance procedures of marine engines. Determination of human error probabilities (HEPs) is important to reduce the human errors and prevent the accidents. Nevertheless, determination of HEPs in the maintenance procedures of marine engines has not been given desired attention. The aim of this study is to determine the HEPs for the maintenance procedures of the marine engines to minimize the human errors and preclude accidents from the shipping industry. The Success Likelihood Index Method is used to determine the HEPs due to the unavailability of human error data for maintenance procedures of marine engines. The results showed that among the 43 considered activities in this study, inspection and overhauls piston/piston rings have the lowest HEP meaning it has a lower consequence for accidents. On the other hand, fuel and lubricating oil filters pressure difference checking and renews filter elements activity have the highest HEP indicating it has high chances for accidents.
Item Details
Item Type: | Refereed Article |
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Keywords: | human factor, probability, human error, maintenance procedure, marine engines, SLIM |
Research Division: | Engineering |
Research Group: | Maritime engineering |
Research Field: | Ship and platform structures (incl. maritime hydrodynamics) |
Objective Division: | Transport |
Objective Group: | Water transport |
Objective Field: | Water transport not elsewhere classified |
UTAS Author: | Islam, R (Dr T M Rabiul Islam) |
UTAS Author: | Abbassi, R (Dr Rouzbeh Abbassi) |
UTAS Author: | Garaniya, V (Associate Professor Vikram Garaniya) |
UTAS Author: | Khan, FI (Professor Faisal Khan) |
ID Code: | 106109 |
Year Published: | 2016 |
Web of Science® Times Cited: | 26 |
Deposited By: | NC Maritime Engineering and Hydrodynamics |
Deposited On: | 2016-01-29 |
Last Modified: | 2018-06-27 |
Downloads: | 1 View Download Statistics |
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