On the application of near accident data to risk analysis of major accidents

Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry

“…As a starting point some hybrid-models were developed and successfully tested, for example in the framework of the operational safety program for offshore companies in Norwegian Sea, called Risk OMT (risk modelling -integration of organizational, human and technical factors) (Røed et al, 2009;Vinnem et al, 2012). In the dynamic framework, Bayesian Networks are nowadays considered to represent a promising tool, suitable to cope with complex and uncertain situations, with a graphical and easy-to-update model, which has recently gained increasing popularity in the process industry (Ale et al, 2014;Khakzad et al, 2014Khakzad et al, , 2013cPasman and Rogers, 2013).…”

Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model

“…There have been some recent developments to improve the practical application of BNs, such as the application of multinomial likelihood functions [14] and nonlinear Gaussian belief networks [15] to model non-linear interactions, and the application of object-oriented BN [16] and Noisy-OR technique [17] to simplify the analysis of complex networks. Although such developments have enhanced the practical implementation of the BNs, the limitations mentioned above still exist.…”

Operational risk assessment: A case of the Bhopal disaster

“…It has been proven to be an effective tool for accident probability estimation (Hanninen et al, 2014;Khakzad et al, 2013;Khakzad et al, 2014). It has also been applied to analyze hazardous material transportation accidents (Zhao et al, 2012), occupational accidents ( …”