복잡한 화학공정을 관리하기 위한 목적으로 도입된 공정안전관리(PSM: process safety management)제도는 그간 화

학사고 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 비선

형적이고 복잡한 상호작용을 모형화하여 인적오류 및 사고 발생 과정을 이해하고 예측하는데 유용한 기법인 기능공명

분석기법(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 효과적으

로 활용될 수 있음을 검토하였다.

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.

Korean, Chemical, Engineering, PSM, Process safety management, FRAM, Non-routine work, Serious industrial accidents

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