Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6246
Title: An Intelligent Fuzzy Multi-Agent System for Reduction of Bullwhip Effect in Supply Chains
Authors: Zarandi, Mohammad Hossein Fazel
Avazbeigi, Milad
Türkşen, İsmail Burhan
Keywords: Multi-agent System (MAS)
Supply Chain Management (SCM)
Fuzzy Supply Chain
Bullwhip Effect
Tabu Search Algorithm (TSA)
Fuzzy rule base
Issue Date: 2009
Publisher: IEEE
Source: Annual Meeting of the North-American-Fuzzy-Information-Processing-Society -- JUN 14-17, 2009 -- Cincinnati, OH
Abstract: This paper presents a Multi-Agent System (MAS) for reduction of the bullwhip effect in fuzzy supply chains. First, it is shown that, even using an optimal ordering policy, without data sharing the bullwhip effect still exists in the supply chain. Then a multi-agent system is proposed to manage the bullwhip effect. The multi-agent system has four different types of agents. The multi-agent system applies Tabu Search algorithm for fuzzy rules generation and a new data filtering method for extraction of training and testing data from the supply chain data warehouse. The results show that the proposed MAS is capable of managing the bullwhip effect efficiently.
URI: https://hdl.handle.net/20.500.11851/6246
ISBN: 978-1-4244-4575-2
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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