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MultiAgent Systems for Production Planning and Control in Supply Chains

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Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 151))

Abstract

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.

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Correspondence to Faten Ben Hmida .

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Hmida, F.B., Seguy, A., Dupas, R. (2012). MultiAgent Systems for Production Planning and Control in Supply Chains. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_24

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  • DOI: https://doi.org/10.1007/978-3-642-28765-7_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28764-0

  • Online ISBN: 978-3-642-28765-7

  • eBook Packages: EngineeringEngineering (R0)

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