Volume 11, Issue 1 (Spring 2024)
johe 2024, 11(1): 42-51 |
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naeimi A, kamani M, Ahmadi H, Arefi M, Maleki Roveshti M. Investigating Occupational Accidents based on the Human Factors Analysis and System Classification method: A Case Study in an Industrial and Mining Company. johe 2024; 11 (1) : 5
URL: http://johe.umsha.ac.ir/article-1-919-en.html
URL: http://johe.umsha.ac.ir/article-1-919-en.html
1- Deputy of Health, Safety and Enviroment, Industry and Mining Group, Tehran, Iran
2- Management of Health, Safety and Enviroment, Rahsazi and Omran Iran, Tehran, Iran
3- Management of Health, Safety and Enviroment, Rahsazi and Omran Iran, Tehran, Iran ,mehranmaleki383@gmail.com
2- Management of Health, Safety and Enviroment, Rahsazi and Omran Iran, Tehran, Iran
3- Management of Health, Safety and Enviroment, Rahsazi and Omran Iran, Tehran, Iran ,
Abstract: (543 Views)
Background and Objective: Human errors are a significant issue in various work environments, including industry and mining. The present study aimed to assess occupational accidents in a large industrial mining company using the human factors analysis and classification system (HFACS) method.
Materials and Methods: This study conducted a retrospective longitudinal analysis of 253 mining industrial accidents from 2011 to 2019 using the HFACS. Descriptive statistics, such as frequency and percentage of subgroups at each level, were calculated using the HFACS method and SPSS software. Inferential statistics, including analysis of variance, t-tests, and chi-square tests, were performed with a significance level of 0.05.
Results: The type of accident was related to throwing/collision or contact with a foreign object, which resulted in a total of 232 injuries and one death. Statistical analysis demonstrated no significant link between the accident type and the educational levels of those involved, as indicated by a P-value greater than 0.05. Still, it pointed to a significant relationship with three other demographic variables: age, marital status, and work experience (P˂0.05). The highest frequency and percentage of the causes of accidents were also due to organizational effects and unsafe practices.
Conclusion: As evidenced by the obtained results, the frequency of human errors in the levels of unsafe supervision and unsafe practices significantly contributed to the occurrence of occupational accidents in the company. Analyzing accidents and understanding the relationship between causal factors at the four levels of the HFACS method is vital for implementing effective strategies to reduce accidents.
Materials and Methods: This study conducted a retrospective longitudinal analysis of 253 mining industrial accidents from 2011 to 2019 using the HFACS. Descriptive statistics, such as frequency and percentage of subgroups at each level, were calculated using the HFACS method and SPSS software. Inferential statistics, including analysis of variance, t-tests, and chi-square tests, were performed with a significance level of 0.05.
Results: The type of accident was related to throwing/collision or contact with a foreign object, which resulted in a total of 232 injuries and one death. Statistical analysis demonstrated no significant link between the accident type and the educational levels of those involved, as indicated by a P-value greater than 0.05. Still, it pointed to a significant relationship with three other demographic variables: age, marital status, and work experience (P˂0.05). The highest frequency and percentage of the causes of accidents were also due to organizational effects and unsafe practices.
Conclusion: As evidenced by the obtained results, the frequency of human errors in the levels of unsafe supervision and unsafe practices significantly contributed to the occurrence of occupational accidents in the company. Analyzing accidents and understanding the relationship between causal factors at the four levels of the HFACS method is vital for implementing effective strategies to reduce accidents.
Article number: 5
Type of Study: Research Article |
Subject:
Safety
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