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Communication Dans Un Congrès Année : 2009

A Multi-Agent System of Adaptive Production Networks

Samir Hamichi
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Zahia Guessoum
Diana Mangalagiu
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Résumé

Production networks of firms linked by supply-customer relationships embedded in a geographical space are among the phenomena not yet well understood by practitioners and scientists. A production network can be defined as a network of autonomous or semiautonomous business entities collectively responsible for procurement, manufacturing and distribution activities associated with one or more families of related products. Such networks are highly non-linear and exhibit complex behavior through the interplay of their structure, environment and function, this complexity making it difficult to manage, control or even predict them. Production networks, supply chains and their management have received considerable attention from researchers in various disciplines over the past two decades. Agent-based modeling (ABM) and simulation are regarded as one of the best candidates for addressing different aspects of these networks. Indeed, ABMs allow the study of complex systems such as production networks, from a micro-macro evolutionary modeling perspective. They are able to take into account both the issue of heterogeneity and autonomy of the agents, the relevance of their temporal-spatial dynamic relations and the emergent evolutionary nature of collective phenomena.
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Dates et versions

hal-01296290 , version 1 (31-03-2016)

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  • HAL Id : hal-01296290 , version 1

Citer

Samir Hamichi, Zahia Guessoum, Diana Mangalagiu. A Multi-Agent System of Adaptive Production Networks. International joint conference on Autonomous Agents and Multi-Agent Systems AAMAS, May 2009, Budapest, Hungary. pp.1311-1312. ⟨hal-01296290⟩
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