Effective Resource Management in Manufacturing Systems Optimization

Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping

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Other titles in this series Assembly Line Design B. Rekiek and A. Delchambre Advances in Design H.A. ElMaraghy and W.H. ElMaraghy (Eds.) Condition Monitoring and Control for Intelligent Manufacturing Wang and Gao (Eds.) Publication due: January 2006

Massimiliano Caramia and Paolo Dell’Olmo

Effective Resource Management in Manufacturing Systems Optimization Algorithms for Production Planning

With 78 Figures

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Massimiliano Caramia, PhD Istituto per le Applicazioni del Calcolo “M. Picone” – CNR Viale del Policlinico, 137 00161 Roma Italy

Paolo Dell’Olmo, Prof. Universitá di Roma “La Sapienza” Dipartimento di Statistica Probabilitá e Statistiche Applicate Piazzale Aldo Moro, 5 00185 Roma Italy

Series Editor: Professor D. T. Pham Intelligent Systems Laboratory WDA Centre of Enterprise in Manufacturing Engineering University of Wales Cardiff PO Box 688 Newport Road Cardiff CF2 3ET UK British Library Cataloguing in Publication Data Caramia, Massimiliano Effective resource management in manufacturing systems: optimization algorithms for production planning. (Springer series in advanced manufacturing) 1. Production management - Mathematical models 2. Mathematical optimization 3. Algorithms I. Title II. Dell’Olmo, Paolo, 1958658.5’0015181 ISBN-10: 1846280052 Library of Congress Control Number: 2005933474 Springer Series in Advanced Manufacturing ISSN 1860-5168 ISBN-10: 1-84628-005-2 e-ISBN 1-84628-227-6 ISBN-13: 978-1-84628-005-4

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© Springer-Verlag London Limited 2006 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 licences 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. Printed in Germany 987654321 Springer Science+Business Media springeronline.com

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Preface

Manufacturing systems, regardless of their size, have to be able to function in dynamic environments with scarce resources, and managers are asked to assign production facilities to parallel activities over time respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trad