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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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    1. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2011. "Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 925-932.
    2. Reniers, Genserik & Soudan, Karel, 2010. "A game-theoretical approach for reciprocal security-related prevention investment decisions," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 1-9.
    3. Matellini, D.B. & Wall, A.D. & Jenkinson, I.D. & Wang, J. & Pritchard, R., 2013. "Modelling dwelling fire development and occupancy escape using Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 75-91.
    4. Golany, Boaz & Kaplan, Edward H. & Marmur, Abraham & Rothblum, Uriel G., 2009. "Nature plays with dice - terrorists do not: Allocating resources to counter strategic versus probabilistic risks," European Journal of Operational Research, Elsevier, vol. 192(1), pages 198-208, January.
    5. Azaiez, M.N. & Bier, Vicki M., 2007. "Optimal resource allocation for security in reliability systems," European Journal of Operational Research, Elsevier, vol. 181(2), pages 773-786, September.
    6. Khakzad, Nima, 2015. "Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 263-272.
    7. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2013. "Risk-based design of process systems using discrete-time Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 5-17.
    8. Liu, Debin & Wang, XiaoFeng & Camp, Jean, 2008. "Game-theoretic modeling and analysis of insider threats," International Journal of Critical Infrastructure Protection, Elsevier, vol. 1(C), pages 75-80.
    9. Marquez, David & Neil, Martin & Fenton, Norman, 2010. "Improved reliability modeling using Bayesian networks and dynamic discretization," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 412-425.
    10. Hausken, Kjell & Levitin, Gregory, 2009. "Minmax defense strategy for complex multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 577-587.
    11. Shafi, Kamran & Bender, Axel & Zhong, Weicai & Abbass, Hussein A., 2012. "Spatio-temporal dynamics of security investments in an interdependent risk environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 5004-5017.
    12. Salzano, Ernesto & Cozzani, Valerio, 2005. "The analysis of domino accidents triggered by vapor cloud explosions," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 271-284.
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