Galland, Stéphane; Grimaud, Frédéric; Beaune, Philippe; Campagne, Jean-Pierre Simulation of distributed industrial systems. (English) Zbl 1138.90305 Dolgui, Alexandre (ed.) et al., Supply chain optimisation. Product/process design, facility location and flow control. New York, NY: Springer (ISBN 0-387-23566-3/hbk). Applied Optimization 94, 277-287 (2005). Summary: 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.For the entire collection see [Zbl 1055.90001]. MSC: 90-06 Proceedings, conferences, collections, etc. pertaining to operations research and mathematical programming 90B30 Production models 90B50 Management decision making, including multiple objectives Keywords:industrial system; discrete-event and distributed simulation; multi-agent systems; decision-making process PDFBibTeX XMLCite \textit{S. Galland} et al., Appl. Optim. 94, 277--287 (2005; Zbl 1138.90305)