Handbook on Data Envelopment Analysis
This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-a
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Volume 164
Series Editor: Frederick S. Hillier Stanford University, CA, USA
Special Editorial Consultant: Camille C. Price Stephen F. Austin State University, TX, USA
For further volumes: http://www.springer.com/series/6161
William W. Cooper Joe Zhu
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Lawrence M. Seiford
Editors
Handbook on Data Envelopment Analysis Second Edition
Editors William W. Cooper Department of Management Science and Information Systems McCombs School of Business University of Texas at Austin Austin, TX, USA [email protected]
Lawrence M. Seiford Department of Industrial and Operations Engineering University of Michigan Ann Arbor, MI, USA [email protected]
Joe Zhu School of Business Worcester Polytechnic Institute Worcester, MA, USA [email protected]
Please note that additional material for this book can be downloaded from http://extras.springer.com ISSN 0884-8289 ISBN 978-1-4419-6150-1 e-ISBN 978-1-4419-6151-8 DOI 10.1007/978-1-4419-6151-8 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011934489 # Springer Science+Business Media, LLC 2011
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 similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To Ruth WWC To Alec & Andie JZ
Preface
This new edition updates previous editions of the Handbook on Data Envelopment Analysis. As noted in preceding editions, data envelopment analysis (DEA) is a “data-oriented” approach for evaluating the performances of a set of entities called decision-making units (DMUs) which convert multiple inputs into multiple outputs. As will be seen from the chapters in this (and the preceding) editions, DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of their activities (which are often reported in noncommensurable units). See Emrouznejad et al. (2008) who “have identified more than 4,000 research articles published in journals or book chapters. . .. To provide some sense of the field’s ongoing expansion, has had we included unpublished dissertations, working/research manuscripts, the bibl
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