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Design for resilience in infrastructure distribution networks

Author

Listed:
  • Mark Turnquist

    (Cornell University)

  • Eric Vugrin

    (Sandia National Laboratories)

Abstract

The recognition that resilience is a critical aspect of infrastructure security has caused the national and homeland security communities to ask “How does one ensure infrastructure resilience?” Previous network resilience analysis methods have generally focused on either pre-disruption prevention investments or post-disruption recovery strategies. This paper expands on those methods by introducing a stochastic optimization model for designing network infrastructure resilience that simultaneously considers pre- and post-disruption activities. The model seeks investment–recovery combinations that minimize the overall cost to a distribution network across a set of disruption scenarios. A set of numerical experiments illustrates how changes to disruption scenarios probabilities affect the optimal resilient design investments.

Suggested Citation

  • Mark Turnquist & Eric Vugrin, 2013. "Design for resilience in infrastructure distribution networks," Environment Systems and Decisions, Springer, vol. 33(1), pages 104-120, March.
    • Handle: RePEc:spr:envsyd:v:33:y:2013:i:1:d:10.1007_s10669-012-9428-z
    DOI: 10.1007/s10669-012-9428-z
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    References listed on IDEAS

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    1. Chassin, David P. & Posse, Christian, 2005. "Evaluating North American electric grid reliability using the Barabási–Albert network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 667-677.
    2. Eric D. Vugrin & R. Chris Camphouse, 2011. "Infrastructure resilience assessment through control design," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 7(3), pages 243-260.
    3. Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    4. Hanif D. Sherali & Evrim Dalkiran & Theodore S. Glickman, 2011. "Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees," Operations Research, INFORMS, vol. 59(3), pages 631-647, June.
    5. Yacov Y. Haimes, 2009. "On the Definition of Resilience in Systems," Risk Analysis, John Wiley & Sons, vol. 29(4), pages 498-501, April.
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