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Domino Effect Analysis, Assessment and Prevention in Process Industries

Author

Listed:
  • Wu Jun

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing100029, China)

  • Yang Hui

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing100029, China)

  • Cheng Yuan

    (Department of Automation, Tsinghua University, Beijing100084, China)

Abstract

Domino effect is a fairly common phenomenon in process industry accidents, which makes many process industry accidents serious and the consequent losses enhanced. Domino effect of the major accidents in chemical cluster is emphasized. Many researchers have studied domino effect in chemical clusters from different perspectives. In the review, we summarize the research from three aspects: The statistical analysis of domino accidents in chemical process industry, the evaluation of domino accidents and the prevention of domino accidents in chemical clusters by game theory. From the analysis, we can find the characteristic of domino accidents such as the time and the location, the origin and causes of domino accidents. The methods of assessing domino effects such as quantitative risk assessment (QRA), Bayesian networks (BN) and Monte Carlo simulation (MCS) are analyzed. The prevention of domino accidents in chemical clusters using game theory is seldom, and there is still much space for improvement in enterprises’ efforts to prevent risk of domino accidents.

Suggested Citation

  • Wu Jun & Yang Hui & Cheng Yuan, 2015. "Domino Effect Analysis, Assessment and Prevention in Process Industries," Journal of Systems Science and Information, De Gruyter, vol. 3(6), pages 481-498, December.
    • Handle: RePEc:bpj:jossai:v:3:y:2015:i:6:p:481-498:n:1
    DOI: 10.1515/JSSI-2015-0481
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    References listed on IDEAS

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