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agent based model for performance analysis of a global chemical supply chain during normal and abnormal situations

 
Titel
Agent based model for performance analysis of a global chemical supply chain during normal and abnormal situations
Type
overige publicaties
Referentie

? Behzad Behdani, Zofia Lukszo, Arief Adhitya, Rajagopalan Srinivasan, Agent based model for performance analysis of a global chemical supply chain during normal and abnormal situations, accepted for European Symposium on Computer Aided Process Engineering ESCAPE 19, June 2009, Cracow, Poland.

Auteurs
Behzad Behdani
 
Zofia Lukszo
Beschrijving

A global chemical supply chain is a complex network of different world-wide companies producing, handling, and distributing specific chemical products. For improving the overall performance of such systems, it is necessary to view them on one hand as a whole, and on the other as an aggregation of lower-level constituents – the production sites, plants etc, linked through various business processes. Agent-based modeling is a proven approach for modeling complex network of intelligent and distributed actors. In this paper we will demonstrate how an agent-based model can be developed to evaluate the dynamic behavior of supply networks, considering both the system-level performance as well as the components’ behavior particularly during abnormal situations. As an illustrative case, an agent-based model of a global supply chain is introduced. The behavior of supply network during an abnormal situation is also studied along with strategies to mitigate the effects of disruption.

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