Optimization and Logistics Challenges in the Enterprise

Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap  from mathematical modeling and optimization techniques, to  practical solutions of enterprise operations. Mathematically distinc

  • PDF / 7,775,041 Bytes
  • 433 Pages / 439.37 x 666.142 pts Page_size
  • 65 Downloads / 180 Views

DOWNLOAD

REPORT


Springer Optimization and Its Applications VOLUME 30 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 works 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, multiobjective programming, description of software packages, approximation techniques and heuristic approaches.

OPTIMIZATION AND LOGISTICS CHALLENGES IN THE ENTERPRISE Edited By

WANPRACHA CHAOVALITWONGSE Rutgers University, Piscataway, NJ, USA KEVIN C. FURMAN ExxonMobil Research and Engineering, Annandale NJ, USA PANOS M. PARDALOS University of Florida, Gainesville, FL, USA

123

Editors Wanpracha Chaovalitwongse Department of Industrial and Systems Engineering Rutgers State University of New Jersey 96 Frelinghuysen Rd. Piscataway NJ 08854 USA [email protected]

Kevin C. Furman ExxonMobil Research and Engineering Corporate Strategic Research 1545 Route 22 East Annandale NJ 08801 USA [email protected]

Panos M. Pardalos Department of Industrial and Systems Engineering University of Florida 303 Weil Hall P.O.Box 116595 Gainesville FL 32611-6595 USA [email protected]

ISSN 1931-6828 ISBN 978-0-387-88616-9 e-ISBN 978-0-387-88617-6 DOI 10.1007/978-0-387-88617-6 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009929376 Mathematics Subject Classification (2000): 90B06, 90C06, 90C59 c Springer Science+Business Media, LLC 2009  All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by s