The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks
Open accessAbstract
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.
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Citations
Cites
The risk concept—historical and recent development trends
Aven, T. (2012) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2011.11.006 · Cited by 596
Cited by
Risk assessment of the operations of maritime autonomous surface ships
Chang, C.-H., Kontovas, C., Yu, Q., & Yang, Z. (2021) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2020.107324 · Cited by 316
Self-citationA BN driven FMEA approach to assess maritime cybersecurity risks
Park, C., Kontovas, C., Yang, Z., & Chang, C.-H. (2023) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2023.106480 · Cited by 98
Self-citationFan, H., Jia, H., He, X., & Lyu, J. (2024) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2024.110311 · Cited by 73
Hybrid Intelligence Failure Analysis for Industry 4.0: A Literature Review and Future Prospective
Mokhtarzadeh, M., Rodríguez-Echeverría, J., Semanjski, I., & Gautama, S. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-024-02376-5 · Cited by 35
Metadata
- Authors
- Wan, C., Yan, X., Zhang, D., Qu, Z., & Yang, Z.
- Venue
- Transportation Research Part E: Logistics and Transportation Review
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 125
- Pages
- 222-240
- ISSN
- 1366-5545 (ISSN-L)
- OpenAlex
- W2924370719
- Cited by
- 229
- References
- 1
- FWCI
- 19.53
- Type
- journal article
- Language
- en
- Open access
- green
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- Wan, C., Yan, X., Zhang, D., Qu, Z., & Yang, Z. (2019). An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2019.03.011
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
