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Abstract

The floating harbour transhipper (FHT) is a new and innovative concept designed to improve the efficiency of bulk commodity export. As with all new and untested maritime systems, a rigorous safety analysis is essential prior to the operation’s launch. Sophisticated tools, such as Bayesian networks, are increasingly being adopted for safety analysis in the maritime industry. Bayesian networks have predominately been used to replace fault trees due to their flexibility and improved handling of uncertainty. However, when applied to complex socio-technical systems Bayesian networks, as currently used, inherit many of the same shortcomings as traditional risk-based methodologies. These limitations are not indicative of the methods potential. This paper compares the traditional approach for developing Bayesian networks with an approach based on a foundation of resilience engineering. Both models were applied to an aspect of manoeuvring during the FHT’s operation. The resilience-based approach successfully developed a representative network. The two approaches led to vastly different models, both in terms of structure and parameters. However, the descriptive approach of resilience-based model produced more proactive safety recommendations and, unlike the traditional model, serves as a knowledge base for future investigation.

Item Type:	Conference Publication
Authors/Creators:	Clarke, L and MacFarlane, G and Penesis, I and Duffy, J and Matsubara, S and Ballantyne, R
Keywords:	Bayesian networks, FHT, transhipping, resilience
Journal or Publication Title:	Marine Navigation: Proceedings of the 12th International Conference on Marine Navigation and Safety of Sea Transportation (TransNav 2017)
Publisher:	CRC Press
DOI / ID Number:	10.1201/9781315099088-61
Copyright Information:	Copyright 2017 Taylor & Francis
Related URLs:	Google Scholar: MacFarlane, G UTAS Profile: MacFarlane, G Google Scholar: Penesis, I UTAS Profile: Penesis, I Google Scholar: Duffy, J UTAS Profile: Duffy, J UTAS Profile: Matsubara, S
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