Socio-Technical Risk Analysis
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Probabilistic Risk Analysis (PRA) is a methodology, initially introduced in the nuclear industry and enhanced over the past three decades to evaluate the risk associated with complex systems such as nuclear power plants,chemical process installations, space missions, and healthcare. Socio-Technical Risk Analysis extends PRA modeling frameworks to include the effects of human and organizational factors in a more systematic way. As a result of multi-disciplinary effort, this study proposes a set of principles for socio-technical risk analysis. A safety framework, called SoTeRiA, is developed as ...
Probabilistic Risk Analysis (PRA) is a methodology,
initially introduced in the nuclear industry and
enhanced over the past three decades to evaluate the
risk associated with complex systems such as nuclear
power plants,chemical process installations, space
missions, and healthcare. Socio-Technical Risk
Analysis extends PRA modeling frameworks to include
the effects of human and organizational factors in a
more systematic way. As a result of multi-
disciplinary effort, this study proposes a set of
principles for socio-technical risk analysis. A
safety framework, called SoTeRiA, is developed as a
unique theoretical foundation for integration of
both social (safety culture and safety climate) and
structural (safety practice) aspects with the
technical system PRA models. In order to
operationalize the SoTeRiA framework, this book
introduces a hybrid approach that combines
deterministic (e.g., System Dynamics) and
probabilistic (e.g. Bayesian Belief Network)
modeling techniques. An application of the hybrid
technique is provided in the aviation safety domain,
focusing on airline maintenance systems.
initially introduced in the nuclear industry and
enhanced over the past three decades to evaluate the
risk associated with complex systems such as nuclear
power plants,chemical process installations, space
missions, and healthcare. Socio-Technical Risk
Analysis extends PRA modeling frameworks to include
the effects of human and organizational factors in a
more systematic way. As a result of multi-
disciplinary effort, this study proposes a set of
principles for socio-technical risk analysis. A
safety framework, called SoTeRiA, is developed as a
unique theoretical foundation for integration of
both social (safety culture and safety climate) and
structural (safety practice) aspects with the
technical system PRA models. In order to
operationalize the SoTeRiA framework, this book
introduces a hybrid approach that combines
deterministic (e.g., System Dynamics) and
probabilistic (e.g. Bayesian Belief Network)
modeling techniques. An application of the hybrid
technique is provided in the aviation safety domain,
focusing on airline maintenance systems.
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