Holonic and Multi-Agent Systems for Manufacturing Second Internation
The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-c
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Subseries of Lecture Notes in Computer Science
3593
Vladimír Maˇrík Robert W. Brennan Michal Pˇechouˇcek (Eds.)
Holonic and Multi-Agent Systems for Manufacturing Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005 Copenhagen, Denmark, August 22-24, 2005 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Vladimír Maˇrík Czech Technical University Faculty of Electrical Engineering, Department of Cybernetics Technická 2 16627 Prague 6, Czech Republic and Rockwell Automation Research Center Prague Pekaˇrská 10a/695, 15500 Prague 5, Czech Republic E-mail: [email protected] Robert W. Brennan University of Calgary Department of Mechanical and Manufacturing Engineering 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada E-mail: [email protected] Michal Pˇechouˇcek Czech Technical University Faculty of Electrical Engineering, Department of Cybernetics Technická 2, 16627 Prague 6, Czech Republic E-mail: [email protected]
Library of Congress Control Number: Applied for
CR Subject Classification (1998): I.2.11, I.2, J.1, D.2, I.6 ISSN ISBN-10 ISBN-13
0302-9743 3-540-28237-8 Springer Berlin Heidelberg New York 978-3-540-28237-2 Springer Berlin Heidelberg New York
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Preface
The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approach
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