Article Abstract

	Title:	Agent-based decision support for failure-prone networked infrastructures
	Author:	Koen H. Van Dam, Zofia Lukszo, Rajagopalan Srinivasan
	Address:	Department of Energy and Industry, Faculty of Technology, Policy and Management, Delft University of Technology, P.O. Box 5015, 2600 GA Delft, The Netherlands. ' Department of Energy and Industry, Faculty of Technology, Policy and Management, Delft University of Technology, P.O. Box 5015, 2600 GA Delft, The Netherlands. ' Institute of Chemical and Engineering Sciences, 1 Pesek Road, Jurong Island, Singapore 627833, Singapore; Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576, Singapore
	Journal:	International Journal of Critical Infrastructures 2009 - Vol. 5, No.4  pp. 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.
	DOI:	10.1504/IJCIS.2009.029112
		Purchase this Paper         Comment on the Paper