Volume 20, Issue 2 (2024)
ioh 2024, 20(2): 296-301 |
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Eskandari D, Monazami Tehrani G, aminfar B, Borgheipour H. Developing a new method for analyzing the root causes of accidents. ioh 2024; 20 (2) :296-301
URL: http://ioh.iums.ac.ir/article-1-3395-en.html
URL: http://ioh.iums.ac.ir/article-1-3395-en.html
Azad University , hasti_bo@yahoo.com
Abstract: (644 Views)
Introduction: Today, many organizations and companies have some methods and instructions to analyze the causes of accidents, but when an accident occurs, only a simple approach is implemented to analyze the causes of accidents. This study aims to investigate and identify the root causes of accidents in the country's drilling industry and provide a technique for an accurate and more comprehensive analysis of accidents with high intensity and frequency in this industry.
Materials and Methods: The present study was conducted in 4 main stages. In the first step, the lessons learned from accidents in the drilling industry were studied through the method of document review. The factors identified in the first step were weighted by the AHP-Fuzzy method and their impact on the occurrence of the accident was determined according to the expert’s opinion. One of the fatal accidents in an oil drilling company was selected and then the root causes of the accident were analyzed according to the developed model.
Results: Based on the results of the review of documents, 29 factors including organizational, occupational, and environmental factors were identified as the root causes of accidents. Among the second level criteria, the organizational factor with the weighting load of 0.533 had the highest and the environmental criteria with the weighting load of 0.0198 gained the lowest weighting load. Based on the results, it was found that job incompetence is one of the main causes of accidents, and job incompatibility and safety training are among the second and third sub-criteria and are among the main causes of the accident.
Conclusion: In the present study, three factors of organization, environment, and individual based on the theory of human factors as the root causes of industrial accidents in the drilling industry were investigated. Analysis of the study data showed that the designed tool is a simple and quantitative method to find the root causes of accidents in the drilling industry and can be used as a practical and comprehensive method for analyzing organizational accidents.
Materials and Methods: The present study was conducted in 4 main stages. In the first step, the lessons learned from accidents in the drilling industry were studied through the method of document review. The factors identified in the first step were weighted by the AHP-Fuzzy method and their impact on the occurrence of the accident was determined according to the expert’s opinion. One of the fatal accidents in an oil drilling company was selected and then the root causes of the accident were analyzed according to the developed model.
Results: Based on the results of the review of documents, 29 factors including organizational, occupational, and environmental factors were identified as the root causes of accidents. Among the second level criteria, the organizational factor with the weighting load of 0.533 had the highest and the environmental criteria with the weighting load of 0.0198 gained the lowest weighting load. Based on the results, it was found that job incompetence is one of the main causes of accidents, and job incompatibility and safety training are among the second and third sub-criteria and are among the main causes of the accident.
Conclusion: In the present study, three factors of organization, environment, and individual based on the theory of human factors as the root causes of industrial accidents in the drilling industry were investigated. Analysis of the study data showed that the designed tool is a simple and quantitative method to find the root causes of accidents in the drilling industry and can be used as a practical and comprehensive method for analyzing organizational accidents.
Type of Study: Research |
Subject:
Safety
Received: 2022/06/5 | Accepted: 2023/09/4 | Published: 2023/12/31
Received: 2022/06/5 | Accepted: 2023/09/4 | Published: 2023/12/31
References
1. Lorenzo DK, Jackson LO. Root cause analysis handbook: A guide to efficient and effective incident investigation: Rothstein Publishing; 2008.
2. Ferjencik M. An integrated approach to the analysis of incident causes. Safety Science. 2011;49(6):886-905. [DOI:10.1016/j.ssci.2011.02.005]
3. Canham A, Jun GT, Waterson P, Khalid S. Integrating systemic accident analysis into patient safety incident investigation practices. Applied ergonomics. 2018;72:1-9. [DOI:10.1016/j.apergo.2018.04.012]
4. Kletz TA. Accident reports may not tell us everything we need to know. Journal of Loss Prevention in the Process Industries. 2009;22(6):753-6. [DOI:10.1016/j.jlp.2009.08.017]
5. Jafari MJ, Barkhordari A, Eskandari D, Mehrabi Y. Relationships between certain individual characteristics and occupational accidents. International Journal of Occupational Safety and Ergonomics. 2019;25(1):61-5. [DOI:10.1080/10803548.2018.1502232]
6. Witteler T. A New Accident Model for Engineering Safer Systems. 2005.
7. LIU G-y, LEI L. Analysis of Heinrich Accident-causing Theory and the Factors of Safety Ideology [J]. Safety and Environmental Engineering. 2013;1.
8. Yule S. Safety culture and safety climate: A review of the literature. Industrial Psychology Research Centre. 2003:1-26.
9. Eskandari D, Gharabagh MJ, Barkhordari A, Gharari N, Panahi D, Gholami A, et al. Development of a scale for assessing the organization's safety performance based fuzzy ANP. Journal of Loss Prevention in the Process Industries. 2021;69:104342. [DOI:10.1016/j.jlp.2020.104342]
10. Eskandari D, Charkhand H, Jafari MJ, Pouyakian M, Torshizi YF, Mehrabi Y. Development of a leading indicator for assessing the organization's safety performance based on fuzzy AHP.
11. Wiegmann DA, Shappell SA. Applying the human factors analysis and classification system (HFACS) to the analysis of commercial aviation accident data. 2001.
12. Shappell SA, Wiegmann DA. A human error approach to accident investigation: The taxonomy of unsafe operations. The International Journal of Aviation Psychology. 1997;7(4):269-91. [DOI:10.1207/s15327108ijap0704_2]
13. Larouzée J, Guarnieri F. From theory to practice: itinerary of Reasons' Swiss Cheese Model. Safety and reliability of complex engineered systems: ESREL. 2015:817-24. [DOI:10.1201/b19094-110]
14. Dan JG, Arnaldos J, Darbra R. Introduction of the human factor in the estimation of accident frequencies through fuzzy logic. Safety science. 2017;97:134-43. [DOI:10.1016/j.ssci.2015.08.012]
15. Fedosov A, Khamitova A, Abdrakhmanova K, Kh AN. Assessment of the human factor influence on the accident initiation in the oil and gas industry. Территория нефтегаз. 2018(1-2).
16. Wang Y-M, Luo Y, Hua Z. On the extent analysis method for fuzzy AHP and its applications. European Journal of Operational Research. 2008;186(2):735-47. [DOI:10.1016/j.ejor.2007.01.050]
17. Nielsen DS. The cause/consequence diagram method as a basis for quantitative accident analysis: Risø National Laboratory; 1971.
18. Gharibi V, Mokarami H, Cousins R, Jahangiri M, Eskandari D. Excessive daytime sleepiness and safety performance: comparing proactive and reactive approaches. The international journal of occupational and environmental medicine. 2020;11(2):95. [DOI:10.34172/ijoem.2020.1872]
19. Sklet S. Comparison of some selected methods for accident investigation. Journal of hazardous materials. 2004;111(1-3):29-37. [DOI:10.1016/j.jhazmat.2004.02.005]
20. Oliver A, Cheyne A, Tomás JM, Cox S. The effects of organizational and individual factors on occupational accidents. Journal of Occupational and Organizational psychology. 2002;75(4):473-88. [DOI:10.1348/096317902321119691]
21. Zhou L, Fu G, Xue Y. Human and organizational factors in Chinese hazardous chemical accidents: A case study of the '8.12'Tianjin Port fire and explosion using the HFACS-HC. International journal of occupational safety and ergonomics. 2018;24(3):329-40. [DOI:10.1080/10803548.2017.1372943]
22. Jabbari M, Ghorbani R. Developing techniques for cause-responsibility analysis of occupational accidents. Accident Analysis & Prevention. 2016;96:101-7. [DOI:10.1016/j.aap.2016.07.039]
23. Borgheipour H, Eskandari D, Barkhordari A, Tehrani M. Predicting the relationship between safety climate and safety performance in cement industry. work. 2020(Preprint):1-9. [DOI:10.3233/WOR-203155]
24. Li CY, Chen KR, Wu CH, Sung FC. Job stress and dissatisfaction in association with non‐fatal injuries on the job in a cross‐sectional sample of petrochemical workers. Occupational Medicine. 2001;51(1):50-5. [DOI:10.1093/occmed/51.1.50]
25. Chau N, Mur J-M, Benamghar L, Siegfried C, Dangelzer J-L, Francais M, et al. Relationships between Some Individual Characteristics and Occupational Accidents in the Construction Industry: A Case-Control Study on 880 Victims of Accidents Occurred during a Two-Year Period. Journal of occupational health. 2002;44(3):131-9. [DOI:10.1539/joh.44.131]
26. Gauchard GC, Chau N, Touron C, Benamghar L, Dehaene D, Perrin P, et al. Individual characteristics in occupational accidents due to imbalance: a case-control study of the employees of a railway company. Occupational and environmental medicine. 2003;60(5):330-5. [DOI:10.1136/oem.60.5.330]
27. Kim K, Nitz L, Richardson J, Li L. Personal and behavioral predictors of automobile crash and injury severity. Accident Analysis & Prevention. 1995;27(4):469-81. [DOI:10.1016/0001-4575(95)00001-G]
28. Melamed S, Yekutieli D, Froom P, Kristal-Boneh E, Ribak J. Adverse Work and Environmental Conditions Predict Occupational Injuries The Israeli Cardiovascular Occupational Risk Factors Determination in Israel (CORDIS) Study. American Journal of Epidemiology. 1999;150(1):18-26. [DOI:10.1093/oxfordjournals.aje.a009913]
29. Harrell WA. Accident history and perceived risk of injury as factors influencing fatalism about occupational accidents. Perceptual and motor skills. 1995;81(2):665-6.
https://doi.org/10.2466/pms.1995.81.2.665 [DOI:10.1177/003151259508100260]
30. Lawton R, Parker D. Individual differences in accident liability: A review and integrative approach. Human Factors: The Journal of the Human Factors and Ergonomics Society. 1998;40(4):655-71. [DOI:10.1518/001872098779649292]
31. Iverson RD, Erwin PJ. Predicting occupational injury: The role of affectivity. Journal of Occupational and Organizational Psychology. 1997;70(2):113-28. [DOI:10.1111/j.2044-8325.1997.tb00637.x]
32. Ghosh AK, Bhattacherjee A, Chau N. Relationships of working conditions and individual characteristics to occupational injuries: a case-control study in coal miners. Journal of occupational health. 2004;46(6):470-80. [DOI:10.1539/joh.46.470]
33. Frone MR. Predictors of work injuries among employed adolescents. Journal of Applied Psychology. 1998;83(4):565. [DOI:10.1037/0021-9010.83.4.565]
34. Zwerling C, Sprince NL, Wallace RB, Davis CS, Whitten PS, Heeringa SG. Risk factors for occupational injuries among older workers: an analysis of the health and retirement study. American Journal of Public Health. 1996;86(9):1306-9. [DOI:10.2105/AJPH.86.9.1306]
35. Holcom ML, Lehman WE, Simpson DD. Employee accidents: influences of personal characteristics, job characteristics, and substance use in jobs differing in accident potential. Journal of Safety Research. 1994;24(4):205-21. [DOI:10.1016/0022-4375(93)80002-S]
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