Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies

Background: With the increasing demand for industrial robots and the “noncontact” trend, it is an appropriate point in time to examine whether risk assessments conducted for robot operations are performed effectively to identify and eliminate the risks of injury or harm to operators. This study disc...

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Autores principales: Kangdon Lee, Jaeho Shin, Jae-Yong Lim
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/78190a50ea624436acfc2f09e79af36f
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spelling oai:doaj.org-article:78190a50ea624436acfc2f09e79af36f2021-11-30T04:15:37ZCritical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies2093-791110.1016/j.shaw.2021.07.010https://doaj.org/article/78190a50ea624436acfc2f09e79af36f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2093791121000639https://doaj.org/toc/2093-7911Background: With the increasing demand for industrial robots and the “noncontact” trend, it is an appropriate point in time to examine whether risk assessments conducted for robot operations are performed effectively to identify and eliminate the risks of injury or harm to operators. This study discusses why robot accidents resulting in harm to operators occur repetitively despite implementing control measures and proposes corrective actions for risk assessments. Methods: This study collected 369 operator-injured robot accidents in Korea over the last decade and reconstructed them into the mechanism of injury, work being undertaken, and bodily location of the injury. Then, through the techniques of Systematic Cause Analysis Technique (SCAT) and Root Cause Analysis (RCA), this study analyzed the root and direct causes of robot accidents that had occurred. Causes identified included physical hazards and complex combinations of hazards, such as psychological, organizational, and systematic errors. The requirements of risk assessments regarding robot operations were examined, and three case studies of robot-involved tasks were investigated. The three assessments presented were: camera module processing, electrical discharge machining, and a panel-flipping robot installation. Results: After conducting RCA and comparing the three assessments, it was found that two-thirds of injury-occurring from robot accidents, causative factors included psychological and personal traits of robot operators. However, there were no evaluations of the identifications of personal aspects in the three assessment cases. Conclusion: Therefore, it was concluded that personal factors of operators, which had been overlooked in risk assessments so far, need to be included in future risk assessments on robot operations.Kangdon LeeJaeho ShinJae-Yong LimElsevierarticleHuman factorHuman-robot collaborationPsychologyRisk assessmentRoot cause analysisPublic aspects of medicineRA1-1270ENSafety and Health at Work, Vol 12, Iss 4, Pp 496-504 (2021)
institution DOAJ
collection DOAJ
language EN
topic Human factor
Human-robot collaboration
Psychology
Risk assessment
Root cause analysis
Public aspects of medicine
RA1-1270
spellingShingle Human factor
Human-robot collaboration
Psychology
Risk assessment
Root cause analysis
Public aspects of medicine
RA1-1270
Kangdon Lee
Jaeho Shin
Jae-Yong Lim
Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies
description Background: With the increasing demand for industrial robots and the “noncontact” trend, it is an appropriate point in time to examine whether risk assessments conducted for robot operations are performed effectively to identify and eliminate the risks of injury or harm to operators. This study discusses why robot accidents resulting in harm to operators occur repetitively despite implementing control measures and proposes corrective actions for risk assessments. Methods: This study collected 369 operator-injured robot accidents in Korea over the last decade and reconstructed them into the mechanism of injury, work being undertaken, and bodily location of the injury. Then, through the techniques of Systematic Cause Analysis Technique (SCAT) and Root Cause Analysis (RCA), this study analyzed the root and direct causes of robot accidents that had occurred. Causes identified included physical hazards and complex combinations of hazards, such as psychological, organizational, and systematic errors. The requirements of risk assessments regarding robot operations were examined, and three case studies of robot-involved tasks were investigated. The three assessments presented were: camera module processing, electrical discharge machining, and a panel-flipping robot installation. Results: After conducting RCA and comparing the three assessments, it was found that two-thirds of injury-occurring from robot accidents, causative factors included psychological and personal traits of robot operators. However, there were no evaluations of the identifications of personal aspects in the three assessment cases. Conclusion: Therefore, it was concluded that personal factors of operators, which had been overlooked in risk assessments so far, need to be included in future risk assessments on robot operations.
format article
author Kangdon Lee
Jaeho Shin
Jae-Yong Lim
author_facet Kangdon Lee
Jaeho Shin
Jae-Yong Lim
author_sort Kangdon Lee
title Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies
title_short Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies
title_full Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies
title_fullStr Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies
title_full_unstemmed Critical Hazard Factors in the Risk Assessments of Industrial Robots: Causal Analysis and Case Studies
title_sort critical hazard factors in the risk assessments of industrial robots: causal analysis and case studies
publisher Elsevier
publishDate 2021
url https://doaj.org/article/78190a50ea624436acfc2f09e79af36f
work_keys_str_mv AT kangdonlee criticalhazardfactorsintheriskassessmentsofindustrialrobotscausalanalysisandcasestudies
AT jaehoshin criticalhazardfactorsintheriskassessmentsofindustrialrobotscausalanalysisandcasestudies
AT jaeyonglim criticalhazardfactorsintheriskassessmentsofindustrialrobotscausalanalysisandcasestudies
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