Risk assessment of Human error and Provide Corrective Actions in Combined cycle power plant Using Systematic Human error Reduction and Prediction Approach SHERPA Method

, A; , GH; , Y; , M; , B

Volume 13, Issue 6 (3-2015) TB 2015, 13(6): 46-56 | Back to browse issues page

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Risk assessment of Human error and Provide Corrective Actions in Combined cycle power plant Using Systematic Human error Reduction and Prediction Approach SHERPA Method. TB 2015; 13 (6) :46-56
URL: http://tbj.ssu.ac.ir/article-1-1373-en.html

Risk assessment of Human error and Provide Corrective Actions in Combined cycle power plant Using Systematic Human error Reduction and Prediction Approach SHERPA Method

Abstract: (6062 Views)

Introduction: Human error incidence is inevitable in many occupational situations such as power plants, military industries, and chemical and nuclear industries and can cause disaster and damage. This study was, therefore, aimed to assess human errors in combined-cycle power-plant control room and to offer control solution using SHERPA technique. Methods: This cross-sectional study was performed in Yazd combined-cycle power plant. At first, all different activities of the unit were considered after interviewing the workers and consulting with supervisors, line managers and also by HTA hierarchical analysis. SHERPA systematic prediction approach was applied to identify potential human errors. Results:115 errors analyzed through SHERPA approach, The results indicated that among checking errors were the highest with 39.04%. This was followed by action errors with 38.08%, communication errors, 13.89%, and retrieval errors, 8.61%. Conclusion:It can thus be concluded that the most prevalent errors are checking and action errors. Therefore, it is suggested that work instructions, staff training and translation of instructions as well as employing inspection operators to monitor the performances should be considered as a priority.

Keywords: Human error, SHERPA, Combined- cycle power plant

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Type of Study: Research | Subject: Special
Received: 2014/02/7 | Accepted: 2014/05/10 | Published: 2015/03/15