Korean Chemical Engineering Research

The Korean Institute of Chemical Engineers (한국화학공학회)
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A Study on the Application of FRAM to PSM through the Analysis of Serious Industrial Accident in Non-routine Work

비정상 작업에서 발생한 중대산업사고 분석을 통한 FRAM의 PSM 활용 방안에 관한 연구

  • Young-Gwan Kim (Department of Safety Engineering, Seoul National University of Science and Technology) ;
  • Jin-Woo Jung (Department of Safety Engineering, Seoul National University of Science and Technology)
  • 김영관 (서울과학기술대학교 안전공학과) ;
  • 정진우 (서울과학기술대학교 안전공학과)
  • Received : 2023.11.05
  • Accepted : 2024.01.19
  • Published : 2024.02.01
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Abstract

PSM(process safety management), introduced for the purpose of managing complex chemical processes, has contributed to the prevention of chemical accidents, but has recently revealed its limitations. Recently, major industrial accidents have increased, and in particular, Serious Industrial Accidents have increased rapidly in non-routine works since 2020. It is time for an effective PSM operation plan. This study examined that FRAM can be effectively used in the PSM operation process by using FRAM (Functional Resonance Analysis Method), a useful technique for understanding and predicting human error and accident occurrence processes by modeling nonlinear and complex interactions, to analyze accident cases that occurred in non-routine works, and to further analyze the process of performing general PSM non-routine works.

복잡한 화학공정을 관리하기 위한 목적으로 도입된 공정안전관리(PSM: process safety management)제도는 그간 화학사고 예방에 기여해 왔으나, 최근에는 그 한계를 드러내고 있다. 최근 중대산업사고가 증가하고 있으며 특히 2020년 이후 비정상 작업에서 중대산업사고가 급증하였다. 효과적인 PSM 운영 방안이 필요한 시점이다. 본 연구에서는 비선형적이고 복잡한 상호작용을 모형화하여 인적오류 및 사고 발생 과정을 이해하고 예측하는데 유용한 기법인 기능공명분석기법(FRAM: Functional Resonance Analysis Method)을 활용하여 비정상 작업에서 발생한 사고 사례를 분석하고 나아가 일반적인 PSM 비정상 작업 수행 과정에 대한 분석을 수행함으로써, PSM 운영 과정에서 FRAM이 효과적으로 활용될 수 있음을 검토하였다.

Keywords

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