An extended fuzzy bow-tie approach with SLIM to assess risk for anchor dredging in cargo ships

Ahmet Lutfi Tunçel*, Emre Akyuz, Ozcan Arslan, Osman Turan, Rafet Emek Kurt

*Bu çalışma için yazışmadan sorumlu yazar

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Anchoring is one of the frequent processes undertaken by the crew on-board ship. Improper anchoring has significant consequences, such as anchor dredging, which may pose serious risks to the ship crew, marine environment and commodities. This paper aims to present a robust approach combining bow-tie approach with SLIM (Success Likelihood Index Method) under fuzzy sets theory. Since the fuzzy bow-tie represents a comprehensive quantitative risk assessment (QRA) method, the SLIM predicts the probability of a human error occurring during a specific task's completion. In this context, anchor dredging risk can be calculated for a specific case. This paper's novelty lies in consideration of human error's contribution to risk for ship anchor dredging and combining quantitative and qualitative analysis in maritime risk assessment. The finding of the paper shows that the occurrence probability of anchor dredging risk for cargo ships is 7.31E-02. Besides its robust theoretical background, cargo ship owners, superintendents, safety inspectors, and health, safety, environment and quality (HSEQ) managers can utilise the paper's findings to minimise potential risk and enhance operational safety during anchoring operations.

Orijinal dilİngilizce
Makale numarası115301
DergiOcean Engineering
Yayın durumuYayınlandı - 15 Eyl 2023

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Publisher Copyright:
© 2023 Elsevier Ltd


This research is produced from the PhD study entitled ''Model Proposal for Safety Optimization of Ship Anchoring Operations'' carried out within the framework of the Maritime Transportation Engineering Program of Istanbul Technical University (ITU) Graduate School. In addition, this study was performed with funding by The Scientific and Technological Research Council of Turkey (TUBITAK, 2214/A Grant No: 1059B142100380 ). Furthermore, The authors declare that they have no known competing financial interests.

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu1059B142100380
Istanbul Teknik Üniversitesi

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