Abstract
Investment in Chemical Process Industries for improving their safety requires considering risk level, environmental effect, cost and many other aspects simultaneously. This paper focuses on a new systematic method of finding the most cost-risk-effective investment scenario set. The method uses the automatic accident scenario generation technique first to find a set of the most dangerous scenarios. Then it uses the multiobjective optimization method to decide the priority of the investment. These computations includes considering many constraints such as limited budget, environmental requirements and social demands. The Styrene Monomer plant case study proves the practical use of this integration method of accident scenario generation and multiobjective optimization.
| Original language | English |
|---|---|
| Pages (from-to) | 705-713 |
| Number of pages | 9 |
| Journal | Journal of Loss Prevention in the Process Industries |
| Volume | 19 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2006 Nov 1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Food Science
- Chemical Engineering(all)
- Safety, Risk, Reliability and Quality
- Energy Engineering and Power Technology
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
Cite this
}
Integration of accident scenario generation and multiobjective optimization for safety-cost decision making in chemical processes. / Kim, Dongwoon; Kim, Jiyong; Moon, Il.
In: Journal of Loss Prevention in the Process Industries, Vol. 19, No. 6, 01.11.2006, p. 705-713.Research output: Contribution to journal › Article
TY - JOUR
T1 - Integration of accident scenario generation and multiobjective optimization for safety-cost decision making in chemical processes
AU - Kim, Dongwoon
AU - Kim, Jiyong
AU - Moon, Il
PY - 2006/11/1
Y1 - 2006/11/1
N2 - Investment in Chemical Process Industries for improving their safety requires considering risk level, environmental effect, cost and many other aspects simultaneously. This paper focuses on a new systematic method of finding the most cost-risk-effective investment scenario set. The method uses the automatic accident scenario generation technique first to find a set of the most dangerous scenarios. Then it uses the multiobjective optimization method to decide the priority of the investment. These computations includes considering many constraints such as limited budget, environmental requirements and social demands. The Styrene Monomer plant case study proves the practical use of this integration method of accident scenario generation and multiobjective optimization.
AB - Investment in Chemical Process Industries for improving their safety requires considering risk level, environmental effect, cost and many other aspects simultaneously. This paper focuses on a new systematic method of finding the most cost-risk-effective investment scenario set. The method uses the automatic accident scenario generation technique first to find a set of the most dangerous scenarios. Then it uses the multiobjective optimization method to decide the priority of the investment. These computations includes considering many constraints such as limited budget, environmental requirements and social demands. The Styrene Monomer plant case study proves the practical use of this integration method of accident scenario generation and multiobjective optimization.
UR - http://www.scopus.com/inward/record.url?scp=33749572280&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749572280&partnerID=8YFLogxK
U2 - 10.1016/j.jlp.2006.04.002
DO - 10.1016/j.jlp.2006.04.002
M3 - Article
AN - SCOPUS:33749572280
VL - 19
SP - 705
EP - 713
JO - Journal of Loss Prevention in the Process Industries
JF - Journal of Loss Prevention in the Process Industries
SN - 0950-4230
IS - 6
ER -