Volume 14, Issue 2 (6-2024)
J Health Saf Work 2024, 14(2): 316-333 |
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Mohammadiyan M, Ahmadi O, Yaseri M, Karimi A. Application of Three-Dimensional Risk Matrix Approach for Occupational Injury Risk assessment in an Automotive Factory. J Health Saf Work 2024; 14 (2) :316-333
URL: http://jhsw.tums.ac.ir/article-1-6985-en.html
URL: http://jhsw.tums.ac.ir/article-1-6985-en.html
1- Department of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran
2- Department of Occupational Health and Safety, Faculty of Medical Sciences, University of Tarbiat Modares, Tehran, Iran
3- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Department of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran ,a_karimi@sina.tums.ac.ir
2- Department of Occupational Health and Safety, Faculty of Medical Sciences, University of Tarbiat Modares, Tehran, Iran
3- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Department of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran ,
Abstract: (403 Views)
Introduction: Risk assessment matrix is a tool used in a project’s risk assessment process to identify the probability of risks and evaluate the potential damages caused by those risks. Generally, a risk assessment matrix is drawn in a two-dimensional form, with two factors: the severity of the accident and the probability of its occurrence. So, the purpose of this study is to develop a specific risk assessment matrix in a three-dimensional form by using the accident severity grade (ASG) rating system, the accident probability, and taking into account the preventive approach that helps occupational injury risk assessment in the automobile industry.
Material and Methods: This cross-sectional study was conducted in 1402 (2023) in one of the automobile assembly industries. One hundred cases were randomly selected by examining the reports of this industry’s past accidents. The ASG scoring checklist was designed and completed by the experts to assess the severity of accidents. Then, considering the ASG score, the frequency of the accident, and its preventability, a three-dimensional risk assessment matrix specific to this industry was presented.
Results: According to the findings of the accident analysis, a total of 658 accidents and 15,019 lost working days were recorded in this period. The most influential factor in the occurrence of accidents is related to “surface condition” (influence factor = 0.6), and the least of them belongs to the “weather conditions” (influence factor = 0.028). The results of the three-dimensional matrix show that when the ability to prevent accidents increases, the risk of accidents decreases.
Conclusion: Using the accident severity grade (ASG) and preventability in the proposed three-dimensional risk assessment matrix, the accident severity can be quantified immediately after the accident. This approach allows monitoring workplaces during the accident, leading to timely control and risk management implementation.
Material and Methods: This cross-sectional study was conducted in 1402 (2023) in one of the automobile assembly industries. One hundred cases were randomly selected by examining the reports of this industry’s past accidents. The ASG scoring checklist was designed and completed by the experts to assess the severity of accidents. Then, considering the ASG score, the frequency of the accident, and its preventability, a three-dimensional risk assessment matrix specific to this industry was presented.
Results: According to the findings of the accident analysis, a total of 658 accidents and 15,019 lost working days were recorded in this period. The most influential factor in the occurrence of accidents is related to “surface condition” (influence factor = 0.6), and the least of them belongs to the “weather conditions” (influence factor = 0.028). The results of the three-dimensional matrix show that when the ability to prevent accidents increases, the risk of accidents decreases.
Conclusion: Using the accident severity grade (ASG) and preventability in the proposed three-dimensional risk assessment matrix, the accident severity can be quantified immediately after the accident. This approach allows monitoring workplaces during the accident, leading to timely control and risk management implementation.
Keywords: Risk matrix, Accident severity grade, Accident prevention capability, automotive industry, Injury accident
Type of Study: Research |
Received: 2024/07/2 | Accepted: 2024/06/30 | Published: 2024/06/30
Received: 2024/07/2 | Accepted: 2024/06/30 | Published: 2024/06/30
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