Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach

Background: Despite the advancement of control mechanisms and automation in industrial processes, there is still the chance of human error and accidents. As a result, this study was conducted in the control room of a cement company to identify human errors and propose control methods to reduce them...

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Main Authors: Abdolnaser Adibhesami, Abolfazl Ghahramani, Iraj Mohebbi
Format: Article
Language:fas
Published: Vesnu Publications 2022-07-01
Series:تحقیقات نظام سلامت
Subjects:
Online Access:http://hsr.mui.ac.ir/article-1-1119-en.html
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author Abdolnaser Adibhesami
Abolfazl Ghahramani
Iraj Mohebbi
author_facet Abdolnaser Adibhesami
Abolfazl Ghahramani
Iraj Mohebbi
author_sort Abdolnaser Adibhesami
collection DOAJ
description Background: Despite the advancement of control mechanisms and automation in industrial processes, there is still the chance of human error and accidents. As a result, this study was conducted in the control room of a cement company to identify human errors and propose control methods to reduce them using the Systematic Human Error Reduction and Prediction Approach (SHERPA). Methods: The data for this cross-sectional descriptive study were gathered through task observation, reviewing technical documentation, and interviews. For the selected tasks, a hierarchical task analysis (HTA) was done, and the human errors of each critical task were assessed using SHERPA. Finally, control methods for reducing the risk of identified errors were proposed. Findings: In this study, 9 main tasks and 103 sub-tasks were assigned for the control room operators. The results of the SHERPA showed that out of 204 identified human errors, 45.1% were functional, 35.3% retrieval, 11.3% communication, 44% checking, and 9.3% were selection errors. C2 (55 cases), C3 (32 cases), and 2D (30 cases) had the highest risk levels, whereas 1E (1 case), 1B (2 cases), and 4C (3 cases) had the lowest. Conclusion: The most common errors were those relating to performance and retrieval. Operator training, monitoring systems, smart control system utilization, effective instructions, and suitable control measures can help to significantly reduce the number of human errors that result in accidents.
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spelling doaj.art-92161a17767b4a6cbdf59b139bfd40b82022-12-28T18:41:58ZfasVesnu Publicationsتحقیقات نظام سلامت1735-23632322-55642022-07-01182161169Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction ApproachAbdolnaser Adibhesami0Abolfazl Ghahramani1Iraj Mohebbi2 Department of Occupational Health and Safety at Work Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran Associate Professor, Department of Occupational Health and Safety at Work Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran Professor, Social Determinants of Health Research Center, Occupational Medicine Center, Urmia University of Medical Sciences, Urmia, Iran Background: Despite the advancement of control mechanisms and automation in industrial processes, there is still the chance of human error and accidents. As a result, this study was conducted in the control room of a cement company to identify human errors and propose control methods to reduce them using the Systematic Human Error Reduction and Prediction Approach (SHERPA). Methods: The data for this cross-sectional descriptive study were gathered through task observation, reviewing technical documentation, and interviews. For the selected tasks, a hierarchical task analysis (HTA) was done, and the human errors of each critical task were assessed using SHERPA. Finally, control methods for reducing the risk of identified errors were proposed. Findings: In this study, 9 main tasks and 103 sub-tasks were assigned for the control room operators. The results of the SHERPA showed that out of 204 identified human errors, 45.1% were functional, 35.3% retrieval, 11.3% communication, 44% checking, and 9.3% were selection errors. C2 (55 cases), C3 (32 cases), and 2D (30 cases) had the highest risk levels, whereas 1E (1 case), 1B (2 cases), and 4C (3 cases) had the lowest. Conclusion: The most common errors were those relating to performance and retrieval. Operator training, monitoring systems, smart control system utilization, effective instructions, and suitable control measures can help to significantly reduce the number of human errors that result in accidents.http://hsr.mui.ac.ir/article-1-1119-en.htmlerrorstaskrisk reductiontrainingcement
spellingShingle Abdolnaser Adibhesami
Abolfazl Ghahramani
Iraj Mohebbi
Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach
تحقیقات نظام سلامت
errors
task
risk reduction
training
cement
title Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach
title_full Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach
title_fullStr Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach
title_full_unstemmed Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach
title_short Assessment of Human Errors in Control Room Operators of a Cement Manufacturing Company Using Systematic Human Error Reduction and Prediction Approach
title_sort assessment of human errors in control room operators of a cement manufacturing company using systematic human error reduction and prediction approach
topic errors
task
risk reduction
training
cement
url http://hsr.mui.ac.ir/article-1-1119-en.html
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AT abolfazlghahramani assessmentofhumanerrorsincontrolroomoperatorsofacementmanufacturingcompanyusingsystematichumanerrorreductionandpredictionapproach
AT irajmohebbi assessmentofhumanerrorsincontrolroomoperatorsofacementmanufacturingcompanyusingsystematichumanerrorreductionandpredictionapproach