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Journal of Intelligent & Fuzzy Systems - Volume 23, issue 5

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Price: EUR 315.00
ISSN 1064-1246 (P)
ISSN 1875-8967 (E)

Impact Factor 2024: 1.7

The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.

The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.

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A multi-agent solution for reduction of bullwhip effect in fuzzy supply chains

Authors: Zarandi, M.H. Fazel | Avazbeigi, M.

Article Type: Research Article

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 … Show more

Keywords: Multi-agent system, supply chain management, fuzzy supply chain, decentralized decision making, bullwhip effect, bullwhip-free data, fuzzy rule base, fuzzy time series

DOI: 10.3233/IFS-2012-0517

Citation: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 5, pp. 259-268, 2012

Price: EUR 27.50
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