Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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A Study on System-Based Accident Analysis : An Accident at In-house Subcontractor of a Manufacturing Company

제조업 사업장 사내협력업체 사고사례의 시스템적 분석에 관한 연구

  • Seo, Dong-Hyun (Occupational Safety Research Bureau, OSHRI, KOSHA) ;
  • Choi, Yi-Rac (Occupational Safety Research Bureau, OSHRI, KOSHA) ;
  • Park, Jang-Hyun (Occupational Safety Research Bureau, OSHRI, KOSHA) ;
  • Han, Ou-Sup (Occupational Safety Research Bureau, OSHRI, KOSHA)
  • 서동현 (한국산업안전보건공단 산업안전보건연구원 산업안전연구실) ;
  • 최이락 (한국산업안전보건공단 산업안전보건연구원 산업안전연구실) ;
  • 박장현 (한국산업안전보건공단 산업안전보건연구원 산업안전연구실) ;
  • 한우섭 (한국산업안전보건공단 산업안전보건연구원 산업안전연구실)
  • Received : 2022.04.06
  • Accepted : 2022.10.24
  • Published : 2022.10.31
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Abstract

In this study, an accident at an in-house maintenance subcontractor of a manufacturing company was analyzed using representative systemic analysis methods, and the results were compared to determine the socio-technical and organizational structure causal factors. Systemic accident analyses were performed using AcciMap, STAMP-CAST, and a method that utilizes work processing procedures. The causal factors derived from the three methods were classified according to HFACS classification criteria. AcciMap and STAMP-CAST analyses were able to derive legal problems and defects in organizational structure between the company and the subcontractors. The method that utilized the work processing procedures drew the most causal factors of the three methods but showed some limitations in deriving legal and facility-related problems. Most of the causal factors identified through the systemic methods could be classified according to the HFACS classification criteria, except for the legal and organizational structure matters. Socio-technical and organizational problems with a holistic perspective of the company and subcontractors could be found using systemic analysis methods. However, it is necessary to conduct analysis using various methods in order to derive more comprehensive measures to prevent accidents because each analysis method showed some limitations in the derivation or expression of some causal factors. The results of this study can be helpful in selecting and using an appropriate method for accident analysis.

Keywords

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