Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
권호 표지
DOI QR코드

DOI QR Code

HFACS-K: A Method for Analyzing Human Error-Related Accidents in Manufacturing Systems: Development and Case Study

제조업의 인적오류 관련 사고분석을 위한 HFACS-K의 개발 및 사례연구

  • 임재근 (숭실대학교 재난안전관리학과) ;
  • 최종덕 ((사)대한산업안전협회) ;
  • 강태원 ((사)대한산업안전협회) ;
  • 김병철 ((사)대한산업안전협회) ;
  • 함동한 (전남대학교 산업공학과)
  • Received : 2020.06.01
  • Accepted : 2020.08.21
  • Published : 2020.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

As Korean government and safety-related organizations make continuous efforts to reduce the number of industrial accidents, accident rate has steadily declined since 2010, thereby recording 0.48% in 2017. However, the number of fatalities due to industrial accidents was 1,987 in 2017, which means that more efforts should be made to reduce the number of industrial accidents. As an essential activity for enhancing the system safety, accident analysis can be effectively used for reducing the number of industrial accidents. Accident analysis aims to understand the process of an accident scenario and to identify the plausible causes of the accident. Accident analysis offers useful information for developing measures for preventing the recurrence of an accident or its similar accidents. However, it seems that the current practice of accident analysis in Korean manufacturing companies takes a simplistic accident model, which is based on a linear and deterministic cause-effect relation. Considering the actual complexities underlying accidents, this would be problematic; it could be more significant in the case of human error-related accidents. Accordingly, it is necessary to use a more elaborated accident model for addressing the complexity and nature of human-error related accidents more systematically. Regarding this, HFACS(Human Factors Analysis and Classification System) can be a viable accident analysis method. It is based on the Swiss cheese model and offers a range of causal factors of a human error-related accident, some of which can be judged as the plausible causes of an accident. HFACS has been widely used in several work domains(e.g. aviation and rail industry) and can be effectively used in Korean industries. However, as HFACS was originally developed in aviation industry, the taxonomy of causal factors may not be easily applied to accidents in Korean industries, particularly manufacturing companies. In addition, the typical characteristics of Korean industries need to be reflected as well. With this issue in mind, we developed HFACS-K as a method for analyzing accidents happening in Korean industries. This paper reports the process of developing HFACS-K, the structure and contents of HFACS-K, and a case study for demonstrating its usefulness.

Keywords

References

  1. Ministry of Employment and Labor, Enforcement Decree of The Occupational Safety and Health Act, 2019.
  2. KOSHA, Industrial Accident Statistics, Annual Report, pp. 5-7, 2017.
  3. KISA, Develop and Utilize Systematic Analysis Techniques for Human Error-related Accidents, KISA REPORT, pp. 19-25, 2019.
  4. R. J. Mitchell, "Application of a Human Factors Classification Framework for Patient Safety to Identify Precursor and Contributing Factors to Adverse Clinical Incidents in Hospital", Applied Ergonomics, Vol. 52, pp. 190-193, 2016. https://doi.org/10.5100/jje.52.S190
  5. M. M. Aliabadi, "Analysis of Hhuman and Organizational Factors that Influence Mining Accidents based on Bayesian Network", International Journal of Occupational Safety and Ergonomics, DOI :10.1080, pp. 4-6, 2018.
  6. C. Neuhaus, "Applying the Human Factors Analysis and Classification System to Critical Incident Reports in Anaesthesiology", Acta Anaesthesiologica Scandinavica, Vol. 62, No. 10, pp. 7-9, 2018. https://doi.org/10.1111/aas.13213
  7. HSE, "Investigating Accidents and Incidents", HSG245, pp. 65-88, 2004.
  8. G. Ye, Q. Tan and X. Gong, "Improved HFACS on Human Factors of Construction Accidents : A China Perspective", Advances in Civil Engineering, Vol. 32 Article ID 4398345, pp. 3-4, 2018. https://doi.org/10.12962/j20861206.v32i1.4503
  9. J. K. Choi, "The Human Factors Analysis and Classification System", The Korean Journal of Aerospace and Environmental Medicine, Vol. 25, No 2, pp. 38-42, 2015.
  10. S. A. Shappell and D. A. Wiegmann, The Human Factors Analysis and Classification System-HFACS, Technical Report, pp. 2-8, 2000.
  11. S. T. Chen, "A Human and Organisational Factors analysis method for marine casualties using HFACS-Maritime Accidents(HFACS-MA)", Safety Science, Vol. 60, pp. 106-107, 2013.
  12. R. M. Reyes-Marinez, "Human Factors Identification and Classification Related to Accdents' Causality on Hand Injuries in the Manufacturing Industry", Work, Vol. 41, No. Supplement 1, pp. 3155-3163, 2012. https://doi.org/10.3233/WOR-2012-0577-3155
  13. K. Y. Kim, "Analysis of Human Factors Responsible for Accidents by Railroad Traffic Controllers Using HFACS-rtc", Journal of the Korean Society for Railway, Vol. 21, No 3, pp. 312-315, 2018.
  14. O. O. Igene and C. W. Johnson, "Comparing HFACS and AcciMaps in a Health Informatics Case study-the Analysis of a Medication Dosing Error", Safety and Reliability-Safe Societies in a Changing World, Vol. 20, pp. 5-6, 2018.
  15. N. S. Olsen and S. T. Shorrock, "Evaluation of the HFACS-ADF Safety Classification System : Inter-coder Consensus and Intra-coder Consistency", Accident Analysis Prevention, Vol. 42, pp. 437-444, 2010. https://doi.org/10.1016/j.aap.2009.09.005
  16. M. Celic and S. Cebi, "Analytical HFACS for Investigating Human Errors in Shipping Accidents", Accident Analysis and Prevention, Vol. 41, pp. 66-75, 2009. https://doi.org/10.1016/j.aap.2008.09.004
  17. R. J. Mitchell, A. Williamson and B. Molesworth, "Application of a Human Factors Classification Framework for Patient Safety to Identify Precusor and Contributing Factors to Adverse Clinical Incidents in Hospital", Applied Ergonomics, Vol. 52, pp. 185-195, 2016. https://doi.org/10.1016/j.apergo.2015.07.018
  18. S. Reinach and A. Viale, "Application of Human Error Framework to Conduct Train Accident/Incident Investigations", Accident Analysis and Prevention, Vol. 38, pp. 396-406, 2006. https://doi.org/10.1016/j.aap.2005.10.013