A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation

By Paolo Trucco, Enrico Cagno, Fabrizio Ruggeri, Ottavio Grande. Reliability Engineering & System Safety, 2008

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Exploring shipping accident contributory factors using association rules (2019, methodology): “Trucco et al. (2008) presented a Bayesian Belief Network (BBN) for modelling the Maritime Transport System (MTS).”
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas (2012, methodology): “Thus, the challenge is to formalize a model of a complex system integrating all these aspects (Trucco et al. 2008 and Kim et al. 2006) (Figure 1).”
Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review (2019, background): “A timed Petri net based approach has been proposed by Tuncel and Alpan (2010) for risk assessment and real-time control of supply chain (SC) networks.”
A survey of approaches combining safety and security for industrial control systems (2015, methodology): “BBNs have long been used for safety assessment [71], particularly to include uncertainties [72] or human and organizational factors [73] in risk evaluation and decision making, and recently for security risk assessment [74–76].”