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Information Sharing as a Coordination Tool in Supply Chain Using Multi-agent System and Neural Networks

  • Halima Bousqaoui
  • Ilham Slimani
  • Said Achchab
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 745)

Abstract

The accurate understanding of future demand in a supply chain is certainly a crucial key to enhance the commercial competitiveness. Indeed, for any member of the supply chain system, a clear vision regarding the future demand affects its planning, performance, and profit. However, supply chains usually suffer from issues of coordination between its members and the uncertain character of customer’s demand. To solve these two problems, this paper examines the combination of two concepts: neural networks and multi-agent systems in order to model information sharing as a coordination mechanism in supply chain and to implement a daily demand-predicting tool. The proposed approach resulted in an MSE of 0.002 in the training set and 0.0086 in the test set, and is used on a real dataset provided by a supermarket in Morocco.

Keywords

Multi-agent system Supply chain management Information sharing Coordination Intelligent agents Neutral networks 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Al-Qualsadi Research and Development Team, National Higher School for Computer Science and System Analysis (ENSIAS)Mohammed V UniversityRabatMorocco

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