Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Development of RCA Incident Investigation Method as Easily Adopted Industry Field

산업현장에서 쉽게 적용할 수 있는 근본원인 사고조사기법 개발에 관한 연구

  • Kwon, Jae Beom (Department of Safety Engineering, Seoul National University of Science Technology) ;
  • Kwon, Young Guk (Department of Safety Engineering, Seoul National University of Science Technology)
  • 권재범 (서울과학기술대학교 안전공학과) ;
  • 권영국 (서울과학기술대학교 안전공학과)
  • Received : 2021.05.03
  • Accepted : 2021.09.24
  • Published : 2021.10.31
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Abstract

Incident investigation is one of the most important processes among various other safety management methods to prevent industrial accidents. Finding the root causes of accidents, eliminating hazards, and improving safety are the most important purposes of investigating accidents. During the investigation process, root cause analysis (RCA) techniques are used to effectively identify RCA. Over the past few decades, over 30 RCA methods have been developed. These techniques are being widely used in some industries, such as the nuclear and aircraft industries; however, most of the RCA techniques require professional knowledge and special training, making it difficult for safety managers in their respective fields to understand and apply them. Therefore, managers of general industrial sites are rarely present at the scene of actual accident investigations, and they cannot contribute much to the purpose and effectiveness of these investigations. In this study, to address these issues, we developed an RCA technique to facilitate root cause investigation of accidents in real-world industrial sites. To develop new techniques, Systematic Cause Analysis Technique (SCAT), one of the RCA techniques, was used to investigate incidents in the enterprise over three years. We also utilized feature analysis and other papers from existing RCA techniques. To verify its effectiveness, the technique proposed was also applied to the accident case. The technique developed can easily identify and analyze the root cause of an accident and help industrial managers. It can also identify the root cause category where accidents are concentrated and use this data to establish guidelines for preventing future accidents and, thus, focus on prioritizing improvement initiatives.

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