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Simulation of Distributed Industrial Systems

A multi-agent tool

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Book cover Supply Chain Optimisation

Part of the book series: Applied Optimization ((APOP,volume 94))

Abstract

We are located in the context of the industrial system simulation, which are complex and distributed in operational, informational and decisional terms. In this chapter, we present the problems and a methodological solution. This methodology is based on the systemic approach and on multi-agent systems. It allows the modelling of distributed industrial systems such as enterprise consortiums. Moreover, it proposes a software platform architecture whish is currently instanced with Arena and dedicated agents.

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References

  1. Banks J., 1999. Introduction to simulation. In: Proceedings of the Winter Simulation Conference. P.A. Farrington, H.B. Nembhard, D.T. Sturrock and G.W. Evans (Eds.), 7–13.

    Google Scholar 

  2. Butera F., 1991. La métamorphose de l’organisation: du chateau au réseau. Chapter of Les nouveaux modèles d’entreprises: vers l’entreprise réseau. Editions d’organisation, Paris, France.

    Google Scholar 

  3. Demazeau Y., 1997. Steps towards multi-agent oriented programming. In: Proceedings of the 1stInternational Workshop on Multi-Agent Systems (IWMAS), Boston, USA.

    Google Scholar 

  4. Dupont L., 1998. La gestion industrielle. Hermès, Paris, France.

    Google Scholar 

  5. Ferber J., 1995. Les Systèmes Multi-Agents: Vers une intelligence collective. InterEditions. Paris, France.

    Google Scholar 

  6. Galland S., 2001. Approche multi-agents pour le conception et le construction d’un environnement de simulation en vue de l’évaluation des performances des ateliers multisites. PhD thesis, Ecole Nationale des Mines, Saint-Etienne, France. December 2001. http://set.utbm.fr/membres/galland/recherche/publis/.

    Google Scholar 

  7. Galland S., Grimaud F., Beaune P. and Campagne J.P., 2003. MaMA-S: an introduction to a methodological approach for the simulation of distributed industrial systems. International Journal of the Production Economics, 85(1), 11–31. June 2003. http://set.utbm.fr/membres/galland/recherche/publis/.

    Article  Google Scholar 

  8. Le Moigne J.L., 1992. La modélisation des systèmes complexes. Editions Dunod, Paris, France.

    Google Scholar 

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Galland, S., Grimaud, F., Beaune, P., Campagne, JP. (2005). Simulation of Distributed Industrial Systems. In: Dolgui, A., Soldek, J., Zaikin, O. (eds) Supply Chain Optimisation. Applied Optimization, vol 94. Springer, Boston, MA. https://doi.org/10.1007/0-387-23581-7_20

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