Zeinab Mosavianasl's research while affiliated with Larestan University of Medical Sciences and other places

Numerous studies have been conducted to assess the role of human errors in accidents in different industries. Human reliability analysis (HRA) has drawn a great deal of attention among safety engineers and risk assessment analyzers. Despite all technical advances and the development of processes, damaging and catastrophic accidents still happen in many industries. Human Error Assessment and Reduction Technique (HEART) and Cognitive Reliability and Error Analysis Method (CREAM) methods were compared with the hierarchical fuzzy system in a steel industry to investigate the human error. This study was carried out in a rolling unit of the steel industry, which has four control rooms, three shifts, and a total of 46 technicians and operators. After observing the work process, reviewing the documents, and interviewing each of the operators, the worksheets of each research method were completed. CREAM and HEART methods were defined in the hierarchical fuzzy system and the necessary rules were analyzed. The findings of the study indicated that CREAM was more successful than HEART in showing a better capability to capture task interactions and dependencies as well as logical estimation of the HEP in the plant studied. Given the nature of the tasks in the studied plant and interactions and dependencies among tasks, it seems that CREAM is a better method in comparison with the HEART method to identify errors and calculate the HEP.

Introduction: Human factors studies have shown that about 80% of the root causes of major accidents affecting safety, the environment or ergonomics are related to human error. The purpose of this study was to identify human errors using the HFACS method and the FAHP theory in cement industry. Methods: The present study was a retrospective study carried out in the cement industry. At first, RCA analysis of 95 incidents occurred during the past six years. Then, by integrating the human factors analysis and classification system technique ) HFACS(and the theory of fuzzy analytic hierarchy process ) FAHP( with 4 safety engineers The accident factory was analyzed. Results: The results of this study show that the highest errors are related to the first level with a weight of 0.272, that is, the errors caused by unsafe acts, at this level of the subgroup "skill-based error" with a weight of 0.269, the 2nd level of the sub-group "industrial environment" with a weight of 0.155 , The 3rd subgroup of "inadequate supervision" with the weight of 0.352 and the 4th sub-category "resource management" with a weight of 0.393 have the highest impact on the levels. Conclusion: The results showed that errors have various causes, including individual, activity, situational, and organizational errors that require careful planning and management to eliminate or reduce these errors. This error reduction, according to safety expert theory, Health and environment of the cement plant including the promotion and effectiveness of staff training, safety guidelines, improvement of staff performance monitoring, identification, evaluation and elimination of high-risk risks, improvement of management and equipment systems, changing safety attitudes, as well as enhancing safety attitudes. Awareness can help reduce the likelihood of human error in the organization.