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Development of a monograph for human error likelihood assessment in marine operations


Islam, R and Yu, H and Abbassi, R and Garaniya, V and Khan, F, Development of a monograph for human error likelihood assessment in marine operations, Safety Science, 91 pp. 33-39. ISSN 0925-7535 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier Ltd.

DOI: doi:10.1016/j.ssci.2016.07.008


Human error is a dominant factor in marine operations, on a daily basis many accidents occur due to human error during maintenance activities of ships. Assessment of the likelihood of human error is essential to minimize accidents and incidents during maintenance operations of marine engines. Most of the current techniques to estimate Human Error Probability (HEP) require significant technical and manpower (expert) resources. The main aim of this study is to develop a monograph for assessing the likelihood of human error in marine operations that can be applied for instant decision making. Due to the lack of human error data for marine operations, the Success Likelihood Index Method (SLIM) is used to estimate HEP. The developed monograph can be helpful for chief engineers or captains in the decision making process for various scheduled and unscheduled maintenance operations. This monograph could also be used as guidance for ship owners, operators, masters and classification societies to better prepare, prioritise and sort maintenance activities for safe and reliable marine operations. It can serve as a helpful tool to reduce the potential of accident occurrence.

Item Details

Item Type:Refereed Article
Keywords:human factor, probability, monograph, SLIM, success likelihood index method, engines, maintenance
Research Division:Engineering
Research Group:Engineering practice and education
Research Field:Risk engineering
Objective Division:Transport
Objective Group:Water transport
Objective Field:Domestic passenger water transport (e.g. ferries)
UTAS Author:Islam, R (Dr T M Rabiul Islam)
UTAS Author:Yu, H (Mr Hongyang Yu)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
UTAS Author:Garaniya, V (Associate Professor Vikram Garaniya)
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:110494
Year Published:2017
Web of Science® Times Cited:47
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2016-07-28
Last Modified:2018-06-27

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