Safoura Karimie, Iraj Mohammadfam, Mostafa Mirzaei Aliabadi,
Volume 9, Issue 2 (6-2019)
Abstract
Introduction: Nowadays, human error is one of the main causes of incidents in the industry. One of the vital characteristics of modern industries is that the precise control of key parts of the process is performed by operators from central control rooms, so an error by the control room staff can be disastrous. The present study is aimed at identifying and evaluating human errors in the control room of the petrochemical industry.
Material and Methods: This is a descriptive-analytic case study that was conducted in a control room of the petrochemical industry. In this research, firstly by using hierarchical task analysis (HTA), the tasks in the control room were identified and analyzed. Then, using the extended CREAM method, possible human errors were identified, their cognitive category was determined, and their probabilities were calculated using a new approach based on BN.
Results: The results of the study showed that the most prevalent control modes for the Boardman and the senior board man were strategic and scrambled modes with error probabilities of 0.136 and 0.171, respectively.
Conclusion: According to the results obtained in the modeling section, BN can be proposed as an approach with high processing accuracy and also high accuracy in modeling human errors and problems with high input parameters affecting the output parameter.
Mojtaba Babaei Khorzoghi, Sayed Ali Hoseini, Mahnaz Manshuri, Mohamad Reza Batavani, Leili Mahdieh,
Volume 12, Issue 2 (6-2022)
Abstract
Introduction: Work-related musculoskeletal abnormalities are one of the main causes of musculoskeletal injuries, followed by job-disability among employees. The purpose of this study was to investigate the relationship between abnormal profiles and the prevalence of musculoskeletal disorders (MSDs) among academic staff men and women.
Material and Methods: The present study is of a causal nature after occurrence. The statistical population consisted of all employees of Isfahan University of Technology in 2018. A random sample of 64 men and 59 women were recruited as the study sample. A New-York-based assessment questionnaire was used to assess musculoskeletal-abnormalities and a Nordic questionnaire was used to assess the extent of MSDs. For data analysis, descriptive statistics and Spearman test were used in SPSS version24 software.
Results: The highest musculoskeletal abnormality in the upper limb was observed in shoulder area (0.37%) and among the lower limbs the ankle (0.82%) was reported as the highest. In terms of correlation between pain, disability and injuries and MSDs with gender in the last 7 days, there was the highest correlation with shoulder (r=0.377), wrist (r=0.401) in the last 12 months and musculoskeletal abnormalities with shoulder area (r = 0.411). There was a significant difference in the prevalence of pain and disability with injury in the shoulder area (P = 0.001), wrist (P = 0.001), back (P = 0.002), buttocks (P = 0.032) and knees (P = 0.006).
Conclusion: The results indicate a high risk of MSDs and abnormalities in male and female employees. In order to reduce the incidence of abnormalities, it is necessary to perform corrective exercises and improve the ergonomics conditions of the work environment.
