Applying analytic hierarchy process and failure likelihood index method (AHP-FLIM) to assess human reliability in critical and sensitive jobs of a petrochemical industry.

Background: Given that human error is the most important cause of industrial accidents, it seems necessary to identify and analyze human error, assess human reliability, and reduce errors or prevent unfortunate consequences. This study aimed to evaluate human reliability in a petrochemical industry. Methods: Critical and sensitive jobs were identified by interviewing the staff and supervisors of the industry. Then, the most important human errors and Performance Shaping Factors (PSFs) in each job group were identified. Using the Analytic Hierarchy Process (AHP), PSFs and human errors were weighed and prioritized. Next, the Failure Likelihood Index (FLI) was calculated for each of the human errors identified in the selected tasks. Finally, by converting this index to human error, human reliability was calculated. Results: Firefighters, site men, and mechanical repairmen had the highest risk and were selected to evaluate human reliability by the AHP-FLI method. Accordingly, six PSFs (training, experience, instruction, stress, task complexity, and environmental conditions) were identified as the most important factors in human error occurrence. The average human error probability was calculated as 0.019, 0.018, and 0.013 in the three job groups of firefighters, site men, and mechanical repairmen, respectively. Conclusion: This study showed that the AHP-FLI method could be a suitable method for assessing human reliability in the petrochemical industry since it could measure the impact of different PSFs on the probability of human error.

Cultural-Religious Approach: An Effective Community-Based Disaster Management Strategy for Reducing the Mortality and Morbidity of the Fourth Wave of Coronavirus Pandemic Caused by the Lineage B.1.1.7 (the British Variant) in Iran (Spring 2021).

Lineage B.1.1.7 (the British variant) is a new variant of SARS-CoV-2. The virus was first identified in the UK in October 2020. Since Iran is one of the most disaster risk countries in the world, disaster management is one of the most important issues. One of the effective approaches of this field is community-based disaster management (CBDM). Altogether, planning and policy-making through using various cultural-religious role models with emphasis on the cultural points can be useful to reduce the mortality and morbidity rate caused by the fourth wave of coronavirus in Iran.