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Springer Multiagent Based Supply Chain Management - Studies in Computational Intelligence

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Description

Explore the convergence of supply chain management and multiagent systems in this comprehensive volume from Springer. This book examines how agent technology and distributed decision-making frameworks are reshaping modern supply chain operations, drawing insights from operations research, game theory, and collaborative systems. Organised into sixteen chapters across four main sections, the work progresses from introductory concepts through multiagent-based supply chain modelling and collaboration strategies. Designed for professionals, researchers, and academics seeking to understand how autonomous agents optimise logistics, inventory management, and organisational coordination. This essential resource demonstrates practical applications of multiagent systems in real-world supply chain challenges, bridging theoretical foundations with implementation strategies for enhanced efficiency and decision-making across distributed networks.

Key Features

Sixteen chapters covering multiagent systems applied to supply chain management and operations research.

Four main organisational sections progressing from introductory papers through multiagent-based supply chain modelling and collaborative frameworks.

Published by Springer as part of the Studies in Computational Intelligence series volume 28.

Combines game theory, distributed decision-making, and agent technology for supply chain optimisation.

Addresses contemporary challenges in supply chain logistics through formal multiagent system approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 March 2012
Listed Since
20 September 2010

Barcode

No barcode data available

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