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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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An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (945kB) | Preview |
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 |
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| 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 & Mechanical Engineering (merged with Engineering 10 Aug 20) Liverpool Business School |
| Publisher: | Elsevier |
| Date Deposited: | 21 Mar 2019 09:14 |
| Last Modified: | 04 Sep 2021 09:36 |
| DOI or ID number: | 10.1016/j.tre.2019.03.011 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/10373 |
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