Ocean Engineering, Journal Year: 2025, Volume and Issue: 329, P. 121212 - 121212
Published: April 12, 2025
Language: Английский
Ocean Engineering, Journal Year: 2025, Volume and Issue: 329, P. 121212 - 121212
Published: April 12, 2025
Language: Английский
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
Citations
1Ocean Engineering, Journal Year: 2025, Volume and Issue: 319, P. 120293 - 120293
Published: Jan. 4, 2025
Language: Английский
Citations
0IOP 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
Citations
0Ocean Engineering, Journal Year: 2025, Volume and Issue: 328, P. 121024 - 121024
Published: March 25, 2025
Language: Английский
Citations
0Ocean Engineering, Journal Year: 2025, Volume and Issue: 329, P. 121212 - 121212
Published: April 12, 2025
Language: Английский
Citations
0