Integration of MIMAH and Fuzzy Bayesian Networks for risk analysis in chemical tanker loading operations

Journal of Marine Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: Feb. 13, 2025

This study provides a systematic risk assessment approach for chemical tanker loading operations, focusing on high-risk scenario identified through operational data from model vessel. To address the complexities of transportation, hybrid methodology combining Methodology Identification Major Accident Hazards (MIMAH) and Fuzzy Bayesian Network (FBN) analysis was developed. MIMAH's structured framework systematically identifies critical events using Bow-Tie (BT) diagram, integrating Fault Tree (FT) Event (ET) providing thorough breakdown potential accident pathways. BT structure converted into (BN) to improve probability estimations by incorporating conditional dependencies expert-driven fuzzy logic, particularly where historical limited. The further employed dual-method sensitivity analysis, Fussell-Vesely (FV) importance measures Improvement Index (II), identify improvement-prone basic (BEs). Key findings highlight dominance human error in events, manifold connection failures incorrect valve alongside mechanical vulnerabilities with significant improvement potential. extends ARAMIS principles maritime contexts, reliability-based fuzzy-based estimation methods detailed adaptable that enhances safety resilience hazardous transport.

Language: Английский

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An optimization method for shipping nickel ore with risk and emission considered

Ocean Engineering, Journal Year: 2025, Volume and Issue: 319, P. 120293 - 120293

Published: Jan. 4, 2025

Language: Английский

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A Literature Review: Enhancing Maritime Risk Assessment through Advanced Fuzzy Approach

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1461(1), P. 012033 - 012033

Published: March 1, 2025

Abstract Maritime transportation played a vital role in global trade and economic growth but faced risks from weather, human error, equipment failures. Traditional risk assessment methods often fell short addressing the complexities uncertainties of maritime operations, highlighting need for more effective approaches. This review examined application Fuzzy Bayesian Networks (FBN) assessment, focusing on its integration with fuzzy logic probabilistic tools to improve safety. Findings indicated that combining frequency consequence analysis provided flexible accurate way assess risks, helping predict prevent accidents by deepening insights into likelihood impact events. integrated model facilitated tailored mitigation strategies, promoting safer resilient operations. As industry expanded, incorporating advanced became essential enhancing safety decision-making. The evolving potential FBN, particularly big data machine learning, underscored fostering efficient, sustainable practices. Future research was encouraged refine these models apply them new technologies management, aligning Sustainable Development Goals enhance resilience sustainability sector.

Language: Английский

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Holistic risk assessment approach for seafarers’ adaptation to digital transformation

Ocean Engineering, Journal Year: 2025, Volume and Issue: 328, P. 121024 - 121024

Published: March 25, 2025

Language: Английский

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Embracing imperfect data: A novel data-driven Bayesian network framework for maritime accidents severity risk assessment

Ocean Engineering, Journal Year: 2025, Volume and Issue: 329, P. 121212 - 121212

Published: April 12, 2025

Language: Английский

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