1- Tehran University of Medical Sciences
2- Tehran University of Medical Sciences ,a_karimi@sina.tums.ac.ir
3- University of Tarbiat Modares
2- Tehran University of Medical Sciences ,
3- University of Tarbiat Modares
Abstract: (169 Views)
Introduction: Barriers are critical to mitigating risks and preventing catastrophic incidents in process industries. Human and Organizational Factors (HOFs) significantly impact safety barrier performance. This systematic review investigates existing frameworks and methods for assessing HOFs' influence on safety barrier performance.
Material and Methods: A systematic search was conducted across Scopus and Web of Science databases, adhering to the PRISMA guidelines. The search aimed to identify studies that presented methodologies for evaluating the impact of HOFs on safety barrier performance in process industries. Subsequently, data were extracted from the 16 included studies.
Results: The 16 studies included in this research presented methods and frameworks that examined the impact of human and organizational factors on various types of safety barriers, including technical, operational, and human barriers, across a wide range of industries such as oil and gas, chemical, and steel. Barrier and Operational Risk Analysis (BORA) was identified as the predominant framework among studies. Studies on operational and human barriers, which rely on human actions and procedures, often identified factors such as competence, training, communication, and supervision as influencing their performance. Regarding technical barriers, studies emphasized the need to assess factors such as maintenance management and procedures.
Conclusion: Thorough HOF assessment is crucial for developing effective risk management strategies in process industries. While progress has been made, the scope of assessment methods should be expanded to cover a wider range of industries and barrier types. To make assessments more objective, integrating data from multiple sources and using techniques based on fuzzy logic and Bayesian networks (BN) can help reduce reliance on expert judgment. The presented methods should also be complemented by dynamic assessment of HOFs with continuous monitoring to ensure the ongoing effectiveness of safety barriers.
Material and Methods: A systematic search was conducted across Scopus and Web of Science databases, adhering to the PRISMA guidelines. The search aimed to identify studies that presented methodologies for evaluating the impact of HOFs on safety barrier performance in process industries. Subsequently, data were extracted from the 16 included studies.
Results: The 16 studies included in this research presented methods and frameworks that examined the impact of human and organizational factors on various types of safety barriers, including technical, operational, and human barriers, across a wide range of industries such as oil and gas, chemical, and steel. Barrier and Operational Risk Analysis (BORA) was identified as the predominant framework among studies. Studies on operational and human barriers, which rely on human actions and procedures, often identified factors such as competence, training, communication, and supervision as influencing their performance. Regarding technical barriers, studies emphasized the need to assess factors such as maintenance management and procedures.
Conclusion: Thorough HOF assessment is crucial for developing effective risk management strategies in process industries. While progress has been made, the scope of assessment methods should be expanded to cover a wider range of industries and barrier types. To make assessments more objective, integrating data from multiple sources and using techniques based on fuzzy logic and Bayesian networks (BN) can help reduce reliance on expert judgment. The presented methods should also be complemented by dynamic assessment of HOFs with continuous monitoring to ensure the ongoing effectiveness of safety barriers.
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