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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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    Cited by:

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    15. Liu, Xing & Fang, Yi-Ping & Zio, Enrico, 2021. "A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    16. Laiany Rodrigues Marinho & Márcio das Chagas Moura & Beatriz Sales Cunha & Isis Didier Lins, 2020. "Optimization of Investments in the Resilience of Water Distribution Systems Subject to Interruptions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 929-954, February.
    17. Zhen, Lu & Lin, Shumin & Zhou, Chenhao, 2022. "Green port oriented resilience improvement for traffic-power coupled networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    18. Sesini, Marzia & Giarola, Sara & Hawkes, Adam D., 2021. "Strategic natural gas storage coordination among EU member states in response to disruption in the trans Austria gas pipeline: A stochastic approach to solidarity," Energy, Elsevier, vol. 235(C).
    19. Ziyi Wang & Zengqiao Chen & Cuiping Ma & Ronald Wennersten & Qie Sun, 2022. "Nationwide Evaluation of Urban Energy System Resilience in China Using a Comprehensive Index Method," Sustainability, MDPI, vol. 14(4), pages 1-36, February.
    20. Iman Kazemian & S. Ali Torabi & Christopher W. Zobel & Yuhong Li & Milad Baghersad, 2022. "A multi-attribute supply chain network resilience assessment framework based on SNA-inspired indicators," Operational Research, Springer, vol. 22(3), pages 1853-1883, July.
    21. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
    22. Márcio das Chagas Moura & Helder Henrique Lima Diniz & Enrique López Droguett & Beatriz Sales da Cunha & Isis Didier Lins & Vicente Ribeiro Simoni, 2017. "Embedding resilience in the design of the electricity supply for industrial clients," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-33, November.
    23. Corinne Curt & Jean‐Marc Tacnet, 2018. "Resilience of Critical Infrastructures: Review and Analysis of Current Approaches," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2441-2458, November.
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