Volume 14, Issue 1 (4-2017)                   ioh 2017, 14(1): 1-11 | Back to browse issues page

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Shirali G, Hosseinzadeh T, Dibeh Khosravi A, Rasi H, Moradi M S, Karami E, et al . Integration of human information processing model and SHERPA technique in the analysis of human errors: A Case Study in the control room for the petrochemical industry. ioh. 2017; 14 (1) :1-11
URL: http://ioh.iums.ac.ir/article-1-1543-en.html
Abstract:   (4207 Views)

Background and aims: With a widespread regard to the human error issue and recognize the importance of human  as an active processor of information The necessity for an effective framework to analyze different mental processes interact with the system to carry out job duties will be obvious. So the aim of this study was to analyze human errors by SHERPA and human information processing model.

Methods: This study is a cross-sectional study in 2014 carried out in the control room of the petrochemical industry. Subjects included 62 employees in four post shift supervisor control, head control, board man and outside operator in 4 sites which were working 8-hour shifts. To analyze the errors, SHERPA technique was used, then to classify human information processing Wickens model and to identify the factors those affecting the performance Kirwan classifier was used. In addition to gathering data observation, interview and documentation study methods were used.

Results: with Analysis of SHERPA worksheet, 246 human errors were identified. Most errors (143) related to the understanding of human information processing. Both work instructions and training and experience, collectively became the most important factors affecting the processing of data in data processing.

Conclusion: The results of this study, with identification of possible errors in data processing and find those factors that affect on them, distinguish the system weaknesses.

Full-Text [PDF 723 kb]   (1521 Downloads)    
Type of Study: Research | Subject: Process Safety
Received: 2015/06/23 | Accepted: 2016/04/20 | Published: 2017/05/17

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