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Decentralized risk management for strategic preparedness of critical infrastructure through decomposition of the inoperability input–output model

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  • Crowther, Kenneth G.

Abstract

Recent disasters and terrorist attacks have increased the demand on the US government in assuring the safety and reliability of the nation’s critical infrastructure. The response of the US Department of Homeland security, as set forth by the National Infrastructure Protection Plan (NIPP) is to decentralize much of the risk assessment and strategic decision-making processes to the owners and operators of the critical infrastructure. Although, this decentralization method has many advantages, it may provide a solution that is inferior to a comprehensive centralized approach. This manuscript develops a multi-objective strategic preparedness problem that is constrained by distinctive model features of an interdependent, regional socio-economic system. The model is a generalization of the nation’s critical infrastructure protection problem that focuses on commodity transaction between economic sectors. The strategic preparedness problem is solved by various decomposition methods, to illustrate the complexity of a decentralized risk management process of a system that is pregnant with interdependencies.

Suggested Citation

  • Crowther, Kenneth G., 2008. "Decentralized risk management for strategic preparedness of critical infrastructure through decomposition of the inoperability input–output model," International Journal of Critical Infrastructure Protection, Elsevier, vol. 1(C), pages 53-67.
    • Handle: RePEc:eee:ijocip:v:1:y:2008:i:c:p:53-67
    DOI: 10.1016/j.ijcip.2008.08.009
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    References listed on IDEAS

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    Cited by:

    1. Crowther, Kenneth G., 2010. "Risk-informed assessment of regional preparedness: A case study of emergency potable water for hurricane response in Southeast Virginia," International Journal of Critical Infrastructure Protection, Elsevier, vol. 3(2), pages 83-98.
    2. Baghersad, Milad & Zobel, Christopher W., 2015. "Economic impact of production bottlenecks caused by disasters impacting interdependent industry sectors," International Journal of Production Economics, Elsevier, vol. 168(C), pages 71-80.
    3. Cameron MacKenzie & Hiba Baroud & Kash Barker, 2016. "Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill," Annals of Operations Research, Springer, vol. 236(1), pages 103-129, January.
    4. Aaron Opdyke & Amy Javernick-Will & Matt Koschmann, 2017. "Infrastructure hazard resilience trends: an analysis of 25 years of research," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 773-789, June.
    5. Levente Bakos & Dănuț Dumitru Dumitrașcu, 2021. "Decentralized Enterprise Risk Management Issues under Rapidly Changing Environments," Risks, MDPI, vol. 9(9), pages 1-19, September.
    6. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    7. Olaf Jonkeren & Piet Rietveld, 2016. "Protection of Critical Waterborne Transport Infrastructures: An Economic Review," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 437-453, July.
    8. Cameron A. MacKenzie & Hiba Baroud & Kash Barker, 2016. "Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill," Annals of Operations Research, Springer, vol. 236(1), pages 103-129, January.

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