Automatic generation of accident scenarios in domain specific chemical plants

Dongwoon Kim, I. Moon, Youngsoon Lee, Donghyun Yoon

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


This paper proposes an automatic generation method of accident scenarios in chemical process industries (CPI) and describes a computer-automated tool. One of the most powerful and widely used concepts in several risk assessment methodologies is the concept of accident scenarios. The generation of accident scenarios is on a strictly experience-based approach, and is a time and labor-consuming procedure. To reduce the effort and resources devoted to this, we developed a systematic method of generating accident scenarios and implemented software called yAGAS (Yonsei Automatic Generator of Accident Scenarios). This system automatically formulates a list of accident events and generic hazardous situations by considering the following process characteristics: Process, equipment, materials, operating conditions, status, and accident progress factors. This system yields a qualitative description of accident events related to process hazards. This also provides a qualitative and quantitative ranking of hazardous situations that can be used as the top events of safety analysis.

Original languageEnglish
Pages (from-to)121-132
Number of pages12
JournalJournal of Loss Prevention in the Process Industries
Issue number2
Publication statusPublished - 2003 Mar

Bibliographical note

Funding Information:
Financial support from the Korea Occupational Safety and Health Agency (KOSHA) is gratefully acknowledged.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Food Science
  • General Chemical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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