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• W1750336212 abstract "In this paper, we present a new Multi-Agent System for reduction of the bullwhip effect in fuzzy supply chains. First, we show that a supply chain that uses an optimal ordering policy without data sharing among echelons still suffers from the bullwhip effect. Then, we propose the multi-agent solution to manage and reduce the bullwhip effect. The proposed multi-agent system includes four different types of agents in which each agent has its own list of actions. The proposed Multi-agent System applies a new Tabu Search algorithm for fuzzy rule generation, and a new data filtering algorithm for extraction of the bullwhip-free data from supply chain data warehouse. We validate the multi-agent system under different conditions and discuss how the system responds to different factors. The results show that the proposed multi-agent system reduces the bullwhip effect significantly in a rational time." @default.
• W1750336212 created "2016-06-24" @default.
• W1750336212 creator A5017657295 @default.
• W1750336212 creator A5024091153 @default.
• W1750336212 date "2012-01-01" @default.
• W1750336212 modified "2023-09-26" @default.
• W1750336212 title "A multi-agent solution for reduction of bullwhip effect in fuzzy supply chains" @default.
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• W1750336212 doi "https://doi.org/10.3233/ifs-2012-0517" @default.
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