Human Error Analysis in a Permit to Work System: A Case Study in a Chemical Plant

Jahangiri, Mehdi; Hoboubi, Naser; Rostamabadi, Akbar; Keshavarzi, Sareh; Hosseini, Ali Akbar

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자료유형: 학술저널

저자정보: Jahangiri, Mehdi (Research Center for Health Sciences, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences) Hoboubi, Naser (Student Research Committee, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences) Rostamabadi, Akbar (Student Research Committee, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences) Keshavarzi, Sareh (Department of Epidemiology, School of Health, Shiraz University of Medical Sciences) Hosseini, Ali Akbar (Department of Health, Safety and Environment [HSE], Zagros Petrochemical Company, Pars Especial Economic Energy Zone [PSEEZ])

저널정보: 산업안전보건연구원 Safety and health at work : SH@W Safety and health at work : SH@W 제7권 제1호

발행연도: 2016.1

수록면: 6 - 11 (6page)

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Background: A permit to work (PTW) is a formal written system to control certain types of work which are identified as potentially hazardous. However, human error in PTW processes can lead to an accident. Methods: This cross-sectional, descriptive study was conducted to estimate the probability of human errors in PTWprocesses in a chemical plant in Iran. In the first stage, through interviewing the personnel and studying the procedure in the plant, the PTW process was analyzed using the hierarchical task analysis technique. In doing so, PTWwas considered as a goal and detailed tasks to achieve the goal were analyzed. In the next step, the standardized plant analysis risk-human (SPAR-H) reliability analysis method was applied for estimation of human error probability. Results: The mean probability of human error in the PTW system was estimated to be 0.11. The highest probability of human error in the PTW process was related to flammable gas testing (50.7%). Conclusion: The SPAR-H method applied in this study could analyze and quantify the potential human errors and extract the required measures for reducing the error probabilities in PTW system. Some suggestions to reduce the likelihood of errors, especially in the field of modifying the performance shaping factors and dependencies among tasks are provided.

#human error #standardized plant analysis risk-human #work permit system

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Jahangiri, Mehdi

소속기관 Research Center for Health Science, Institute of Health, Department of Occupational Health, School o