Zare Asma, Hoboubi Naser, Farahbakhsh Salman, Jahangiri Mehdi
Department of Occupational Health Engineering, Sirjan School of Medical Sciences, Sirjan, Iran.
Student Research Committee, Department of Occupational Health Engineering, Shiraz University of Medical Sciences, Shiraz, Iran.
Heliyon. 2022 May 21;8(5):e09509. doi: 10.1016/j.heliyon.2022.e09509. eCollection 2022 May.
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.
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.
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.
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.
鉴于人为失误是工业事故的最重要原因，识别和分析人为失误、评估人员可靠性以及减少失误或防止不良后果似乎很有必要。本研究旨在评估石化行业中的人员可靠性。
通过与该行业的员工和主管进行访谈，确定关键和敏感工作。然后，确定每个工作组中最重要的人为失误和绩效塑造因素（PSF）。使用层次分析法（AHP）对PSF和人为失误进行加权和排序。接下来，为所选任务中识别出的每个人为失误计算失效可能性指数（FLI）。最后，通过将该指数转换为人为失误，计算人员可靠性。
消防员、现场工作人员和机械修理工的风险最高，并被选用于通过AHP-FLI方法评估人员可靠性。据此，确定了六个PSF（培训、经验、指导、压力、任务复杂性和环境条件）是导致人为失误的最重要因素。消防员、现场工作人员和机械修理工这三个工作组的平均人为失误概率分别计算为0.019、0.018和0.013。
本研究表明，AHP-FLI方法可能是评估石化行业人员可靠性的合适方法，因为它可以衡量不同PSF对人为失误概率的影响。
