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Agent-based decision support for failure-prone networked infrastructures

Author

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  • Koen H. Van Dam
  • Zofia Lukszo
  • Rajagopalan Srinivasan

Abstract

The operation of existing infrastructures is often inefficient and subject to failures. When a failure occurs, various stakeholders need to make decisions that are specific to the failure type and bear little resemblance to decisions faced during normal operation. In this work, we demonstrate a model-based approach to making rational decisions in such situations. Agent-based models serve as a suitable paradigm for modelling complex sociotechnical systems. Given the broad similarities between different networked infrastructure systems, an ontology has been developed as the foundation for a 'model factory' for such systems. A specific application of this model factory to a refinery supply chain system is described. Further, the use of this simulation model for decision support to manage an abnormal situation in the supply chain is reported.

Suggested Citation

  • Koen H. Van Dam & Zofia Lukszo & Rajagopalan Srinivasan, 2009. "Agent-based decision support for failure-prone networked infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 5(4), pages 323-339.
    • Handle: RePEc:ids:ijcist:v:5:y:2009:i:4:p:323-339
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    Cited by:

    1. Katina, Polinpapilinho F. & Ariel Pinto, C. & Bradley, Joseph M. & Hester, Patrick T., 2014. "Interdependency-induced risk with applications to healthcare," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(1), pages 12-26.

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