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Risk analysis of petroleum transportation using fuzzy rule-based Bayesian reasoning

Alghanmi, A, Yang, Z and Blanco-Davis, E (2020) Risk analysis of petroleum transportation using fuzzy rule-based Bayesian reasoning. International Journal of Shipping and Transport Logistics, 12 (1-2). pp. 39-64. ISSN 1756-6517

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Abstract

Petroleum transportation systems (PTSs) play a critical role in the movement of crude oil from its production sites to end users. Such systems are complex because they often operate in a dynamic environment. Safe operations of the key components in PTSs such as port and shipping are vital for the success of the systems. Risk assessment is a powerful tool to ensure the safe transportation of crude oil. This paper applies a mathematical model to identify and evaluate the operational hazards associated with PTSs, by incorporating a fuzzy rule-based (FRB) method with Bayesian networks (BNs). Its novelty lies in the realisation of risk analysis and prioritisation of the hazards in PTSs when historical failure data is not available. This hybrid model is capable of assisting decision-makers in measuring and improving the PTSs' safety, and dealing with the inherent uncertainties in risk data.

Item Type: Article
Uncontrolled Keywords: 1503 Business and Management, 1507 Transportation and Freight Services
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
H Social Sciences > HE Transportation and Communications
Divisions: Engineering
Publisher: Inderscience Publishers
Related URLs:
Date Deposited: 28 Apr 2021 11:22
Last Modified: 28 Apr 2021 11:30
DOI or Identification number: 10.1504/IJSTL.2020.105854
URI: https://researchonline.ljmu.ac.uk/id/eprint/14883

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