An operational risk management approach for small fishing vessel

被引:12
作者
Obeng, Francis [1 ,3 ]
Domeh, Daniel [1 ]
Khan, Faisal [2 ]
Bose, Neil [1 ]
Sanli, Elizabeth [3 ]
机构
[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, Ctr Risk Integr & Safety Engn C RISE, St John, NF, Canada
[2] Texas A&M Univ, Mary Kay OConnor Proc Safety Ctr MKOPSC, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA
[3] Mem Univ Newfoundland, Sch Maritime Studies, Ocean Safety Res, Fisheries & Marine Inst, St John, NF, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Accident; Small fishing vessel; Risk management; Bayesian network; Risk control factors; Uncertainty; DEMPSTER-SHAFER THEORY; BAYESIAN NETWORK; SAFETY; FRAMEWORK; CULTURE; SYSTEM; MODEL;
D O I
10.1016/j.ress.2024.110104
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Human error is at the core of most preventable casualties in the maritime domain, and often not related to the specific individual. Hence to better understand human error there is the need to understand the contribution that human factors make to system success and safety. In this study, we introduce a novel framework that integrates evolving fishing vessel accident scenarios with risk control options, incorporating Bayesian network modeling and the Dempster-Shafer theory to address uncertainties within risk management strategies. To illustrate the practical application of our integrated approach, we present a case study focused on operational risk management within the West African region's small fishing vessel industry. This research contributes to the field of system safety and engineering by offering a structured and adaptable methodology to enhance safety measures in small fishing vessel operations, ultimately mitigating potential hazards and safeguarding lives and assets.
引用
收藏
页数:16
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