Investigating the Probability of Human Error in Iranian Industrial Control Rooms: A Systematic Review

Message:
Article Type:
Review Article (دارای رتبه معتبر)
Abstract:

Due to the human errors in control rooms with a high socio-economic, we aimed in the present study to investigate the probability of human error in some of the Iranian industrial control rooms. In the current study, the related articles based on keywords were reviewed using Google Scholar, Scopus, Embase, PubMed, Web of Science, Magiran, SID, and IranDoc databases from the years 2010 to 2021. The used search terms were "human error", "human failure", "control room", "industry", "human error assessment", "safety management", "Error analysis"  and "human error probability". A comprehensive article review process was conducted to get the required data. To evaluate the quality of the reviewed articles, the Joanna Briggs Institute (JBI) checklist was used. Out of 22 articles that were qualitative for analysis, 14 articles (63.6%) were related to process industries, and 8 articles (36.4%) were related to other industries. The Cognitive Reliability and Error Analysis Method (CREAM) and the Systematic Human Error Reduction and Prediction Approach (SHERPA) techniques were mostly used compared to the other 10 techniques used in the articles.  In order to identify errors in the process industries’ control rooms, CREAM method, execution failure (31.72%-55%), interpretation failure (18.57%-29.20%), SHERPA method, action errors (48.62%-67.64%), and checking errors (11.61%-31.97%) were the main types of errors identification methods.  Although, in other industries, using the SHERPA method, action errors (38.08%-58.80%), checking errors (29.40%-39.04%), Human HAZOP method, delete errors, and performance errors were the main types of errors identification methods in the control rooms.  The results of studies in control rooms showed that human error had a significant share in the occurrence of accidents. However, we were witnessing less attention among Iranian industries such as rail and nuclear.

Language:
English
Published:
International Journal of Occupational Hygiene, Volume:14 Issue: 1, Mar 2022
Pages:
77 to 91
magiran.com/p2581776  
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