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Volumn 34, Issue 1, 2008, Pages 42-49

Knock-on accident prevention in a chemical cluster

Author keywords

Domino effects; Escalation accidents; Knock on effects; Major risk decision support tools

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; DATA ACQUISITION; DECISION MAKING; MANAGERS; RISK ASSESSMENT;

EID: 34248582410     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.08.033     Document Type: Article
Times cited : (27)

References (17)
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    • Delvosalle, Ch. (1996). Domino effects phenomena: definition, overview and classification. In European seminar on domino effects, leuven, belgium, federal ministry of employment, safety administration, direction chemical risks (pp. 5-15). Brussels, Belgium.
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    • Hala, E., Wichterle, I., & Linek, J. Vapour-liquid equilibrium data bibliography, Elsevier, Suppl.: 1. 1976, 2. 1979, 3. 1982, 4. 1985.
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    • An assessment of the likelihood of occurrence, and the damage potential of domino effect (chain of accidents) in a typical cluster of industries
    • Khan F.I., and Abbasi S.A. An assessment of the likelihood of occurrence, and the damage potential of domino effect (chain of accidents) in a typical cluster of industries. Journal of Loss Prevention in the Process Industries 14 (2001) 283-306
    • (2001) Journal of Loss Prevention in the Process Industries , vol.14 , pp. 283-306
    • Khan, F.I.1    Abbasi, S.A.2
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    • Reniers, G., Dullaert, W., & Soudan, K. (2004). A domino effect evaluation model (24 p.). Antwerp: UA (Research paper/UA, Faculteit TEW;2004:29).
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    • Reniers, G. L. L., Ale, B. J. M., Dullaert, W., & Foubert, B. (in press). Decision support systems for major accident prevention in the chemical process industry: a developers' survey. Journal of Loss Prevention in the Process Industries. doi:10.1016/j.jlp.2006.02.005.
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    • RIVM (2003). Rijksinstituut voor Volksgezondheid en Milieu, Instrument Domino Effecten, Bilthoven, Nederland.
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    • Safety and loss prevention
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    • Sinnott, R.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.