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 contribution | A Study on the Application of FRAM to PSM through the Analysis of Serious Industrial Accident in Non-routine Work |
|---|---|
| Original language | Korean |
| Pages (from-to) | 44-52 |
| Number of pages | 9 |
| Journal | Korean Chemical Engineering Research |
| Volume | 62 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2024 |
Keywords
- Chemical
- Engineering
- FRAM
- Korean
- Non-routine work
- Process safety management
- PSM
- Serious industrial accidents