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An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks

Wan, C, Yan, X, Zhang, D, Qu, Z and Yang, Z (2019) An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks. Transportation Research Part E: Logistics and Transportation Review, 125. pp. 222-240. ISSN 1366-5545

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Abstract

This paper aims to develop a novel model to assess the risk factors of maritime supply chains by incorporating a fuzzy belief rule approach with Bayesian networks. The new model, compared to traditional risk analysis methods, has the capability of improving result accuracy under a high uncertainty in risk data. A real case of a world leading container shipping company is investigated, and the research results reveal that among the most significant risk factors are transportation of dangerous goods, fluctuation of fuel price, fierce competition, unattractive markets, and change of exchange rates in sequence. Such findings will provide useful insights for accident prevention.

Item Type: Article
Uncontrolled Keywords: 0102 Applied Mathematics, 0103 Numerical and Computational Mathematics, 1507 Transportation and Freight Services
Subjects: H Social Sciences > HE Transportation and Communications
H Social Sciences > HF Commerce > HF5001 Business > HF5410 Marketing. Distribution of Products
Q Science > QA Mathematics
Divisions: Maritime and Mechanical Engineering
Liverpool Business School
Publisher: Elsevier
Date Deposited: 21 Mar 2019 09:14
Last Modified: 22 Mar 2019 11:01
DOI or Identification number: 10.1016/j.tre.2019.03.011
URI: http://researchonline.ljmu.ac.uk/id/eprint/10373

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