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Erschienen in:
2012 | OriginalPaper | Buchkapitel
MultiAgent Systems for Production Planning and Control in Supply Chains
verfasst von : Faten Ben Hmida, Anne Seguy, Rémy Dupas
Erschienen in: Distributed Computing and Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper presents a generic and extensible multiagent model for production planning and control in supply chains. The purpose of this work is to simulate different control architectures for a given supply chain in order to allow practitioners choose the control strategy that realizes the best benefits and the greater reactivity. The production planning is carried out using the material requirements planning method. Three types of control architectures are simulated on the basis of a test case application: centralized, distributed and mixed architecture.