Abstract
The dynamics of production networks is a complex and still poorly understood phenomenon. This complexity arises from the large number of heterogeneous actors involved and from the spatial distribution and interdependence of these actors. We investigate the geographical distribution of firms and the emergence industrial clusters. We use a multi-agent simulation approach, considering each production firm as an agent. We use adaptive agents taking into account investment decisions according to their business efficiency. In a constant return to scale economy, firms adapt their prices in order to be competitive and get larger market share. They adapt their business-to-business relations both to reduce costs of inputs and to ensure orders are satisfied. The agent proactivity, based on very simple decision mechanisms at a micro level, leads to the emergence of meta-stable business clusters and supply chains at the macro level of the global production system.
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Hamichi, S., Brée, D., Guessoum, Z., Mangalagiu, D. (2010). A Multi-Agent System for Adaptive Production Networks. In: Di Tosto, G., Van Dyke Parunak, H. (eds) Multi-Agent-Based Simulation X. MABS 2009. Lecture Notes in Computer Science(), vol 5683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13553-8_5
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DOI: https://doi.org/10.1007/978-3-642-13553-8_5
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