Agent-based modeling of supply chains in critical situations

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Abstract

Supply chains are discussed in this article. They are viewed as intelligent decentralized systems that meet the agent paradigm. Thus possibility of arising critical situations in the chains can be analyzed in the agent-based manner. The work is focused on applying an overall methodology dedicated to the discovery of crises and support of anti-crisis activities. The agent-based model is proposed that incorporates majority of features of supply chains so that the modeling of crises can be wide-ranging and easy. As an illustration some simulation results are presented. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Kožlak, J., Dobrowolski, G., & Nawarecki, E. (2007). Agent-based modeling of supply chains in critical situations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4488 LNCS, pp. 944–951). Springer Verlag. https://doi.org/10.1007/978-3-540-72586-2_131

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