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

Chengpeng Wan, Xinping Yan, Di Zhang, Zhuohua Qu and Zaili Yang

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 125, issue C, 222-240

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.

Keywords: Maritime supply chain; Maritime transport; Bayesian network; Fuzzy logic; FMEA; Maritime risk (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (38)

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DOI: 10.1016/j.tre.2019.03.011

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