Quantitative Methods in Supply Chain Management Models and Algorithm
Quantitative Methods in Supply Chain Management presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management. In the context of this book, “solving problems” usually me
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Ioannis T. Christou
Quantitative Methods in Supply Chain Management Models and Algorithms
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Prof. Ioannis T. Christou Athens Information Technology 19Km Markopoulou Ave. P.O. Box 68 19002 Paiania Greece e-mail: [email protected]
ISBN 978-0-85729-765-5 DOI 10.1007/978-0-85729-766-2
e-ISBN 978-0-85729-766-2
Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Springer-Verlag London Limited 2012 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Cover design: eStudio Calamar S.L. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
This book presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management; in the context of this book, ‘‘solving problems’’ usually means ‘‘designing efficient algorithms for obtaining high-quality solutions’’. Modeling a real-world problem so that it becomes amenable to analysis and the later design of algorithms for actually solving it is a fascinating mixture of art, science, and engineering. The major purpose of this book is therefore to show what modeling techniques can be expected to work for a given situation, as well as what kinds of constraints or objective functions can render models intractable, and what to do when omitting them is not an option; above all, how to apply existing proven exact or heuristic methods, or even design a hybrid or completely new algorithm for a particular model. As is often the case with textbooks, the material in this book grew out of a set of lectures that I gave to M.Sc. students of Carnegie-Mellon University’s Master’s in Information Networking program, and Ph.D. level graduate students at Aalborg University, Aalborg, Denmark on the topics of Business Management for Engineers, Supply Chain Management and Logistics, and Network Optimization. The enthusiasm of my students encouraged me to carefully write my lecture notes in book form, and the end result is this book. The cont
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