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

Journal of Marine Engineering & Technology, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Фев. 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.

Язык: Английский

A quantitative analysis method based on network evolution for risk factors of safety production in chemical enterprises

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 10, 2025

Язык: Английский

A novel risk analysis approach for the liquefication of nickel ore cargo using fault tree analysis integrated failure mode and effect analysis

Ocean & Coastal Management, Год журнала: 2025, Номер 264, С. 107617 - 107617

Опубликована: Март 13, 2025

Язык: Английский