Cell Formation in Industrial Engineering Theory, Algorithms and Expe
This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based
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Boris Goldengorin Dmitry Krushinsky Panos M. Pardalos
Cell Formation in Industrial Engineering Theory, Algorithms and Experiments
Springer Optimization and Its Applications VOLUME 79 Managing Editor Panos M. Pardalos (University of Florida) Editor–Combinatorial Optimization Ding-Zhu Du (University of Texas at Dallas) Advisory Board J. Birge (University of Chicago) C.A. Floudas (Princeton University) F. Giannessi (University of Pisa) H.D. Sherali (Virginia Polytechnic and State University) T. Terlaky (McMaster University) Y. Ye (Stanford University)
Aims and Scope Optimization has been expanding in all directions at an astonishing rate during the last few decades. New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and our knowledge of all aspects of the field has grown even more profound. At the same time, one of the most striking trends in optimization is the constantly increasing emphasis on the interdisciplinary nature of the field. Optimization has been a basic tool in all areas of applied mathematics, engineering, medicine, economics, and other sciences. The series Springer Optimization and Its Applications publishes undergraduate and graduate textbooks, monographs and state-of-the-art expository work that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, approximation techniques and heuristic approaches.
For further volumes: http://www.springer.com/series/7393
Boris Goldengorin • Dmitry Krushinsky Panos M. Pardalos
Cell Formation in Industrial Engineering Theory, Algorithms and Experiments
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Boris Goldengorin Department of Operations University of Groningen Groningen, The Netherlands and Department of Industrial and Systems Engineering University of Gainesville Gainesville, FL, USA
Dmitry Krushinsky University of Groningen Groningen, The Netherlands
Panos M. Pardalos Department of Industrial and Systems Engineering University of Gainesville Gainesville, FL, USA
ISSN 1931-6828 ISBN 978-1-4614-8001-3 ISBN 978-1-4614-8002-0 (eBook) DOI 10.1007/978-1-4614-8002-0 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013941880 Mathematics Subject Classification (2010): 90-XX, 68-XX, 15-XX, 52-XX © Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from
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