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Agent-based decision support for failure-prone networked infrastructures

Koen H. Van Dam, Zofia Lukszo and Rajagopalan Srinivasan

International Journal of Critical Infrastructures, 2009, vol. 5, issue 4, 323-339

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.

Keywords: agent-based modelling; decision support; supply chain management; SCM; disturbances; uncertainty; simulation; agent-based systems; multi-agent systems; networked infrastructures; failure-prone infrastructures; decision making; ontology; refinery supply chains. (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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