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

Translated title of the contribution: A Study on the Application of FRAM to PSM through the Analysis of Serious Industrial Accident in Non-routine Work

Young Gwan Kim, Jin Woo Jung

Research output: Contribution to journalArticlepeer-review

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.

Translated title of the contributionA Study on the Application of FRAM to PSM through the Analysis of Serious Industrial Accident in Non-routine Work
Original languageKorean
Pages (from-to)44-52
Number of pages9
JournalKorean Chemical Engineering Research
Volume62
Issue number1
DOIs
StatePublished - Feb 2024

Keywords

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

Fingerprint

Dive into the research topics of 'A Study on the Application of FRAM to PSM through the Analysis of Serious Industrial Accident in Non-routine Work'. Together they form a unique fingerprint.

Cite this