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WorldCist'18 - 6th World Conference on Information Systems and Technologies

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Information sharing as a coordination tool in supply chain using multi-agent system and neural networks

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, the acquisition of a clear vision regarding the future demand affects his planning, his performance and thus his profit. However, with the coordination issues between the supply chain’s members and the uncertain character of customer’s demand, it is difficult for managers to balance the optimization of the company's logistics costs with customer’s satisfaction. 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-prediction tool. Besides, the effectiveness of the proposed approaches is validated using real dataset provided by a supermarket in Morocco.

Halima BOUSQAOUI
National Higher School for Computer Science and System Analysis (ENSIAS)
Morocco

Ilham SLIMANI
National Higher School for Computer Science and System Analysis (ENSIAS)
Morocco

Said ACHCHAB
National Higher School for Computer Science and System Analysis (ENSIAS)
Morocco

 

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