Handbook of Operations Analytics Using Data Envelopment Analysis
This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA
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Shiuh-Nan Hwang Hsuan-Shih Lee Joe Zhu Editors
Handbook of Operations Analytics Using Data Envelopment Analysis
International Series in Operations Research & Management Science Volume 239
Series Editor Camille C. Price Stephen F. Austin State University, TX, USA Associate Series Editor Joe Zhu Worcester Polytechnic Institute, MA, USA Founding Series Editor Frederick S. Hillier Stanford University, CA, USA
More information about this series at http://www.springer.com/series/6161
Shiuh-Nan Hwang • Hsuan-Shih Lee • Joe Zhu Editors
Handbook of Operations Analytics Using Data Envelopment Analysis
Editors Shiuh-Nan Hwang Department of Business Administration Ming Chuan University Taipei, Taiwan
Hsuan-Shih Lee College of Maritime Science and Management National Taiwan Ocean University Keelung, Taiwan
Joe Zhu School of Business Worcester Polytechnic Institute Worcester, MA, USA
ISSN 0884-8289 ISSN 2214-7934 (electronic) International Series in Operations Research & Management Science ISBN 978-1-4899-7703-8 ISBN 978-1-4899-7705-2 (eBook) DOI 10.1007/978-1-4899-7705-2 Library of Congress Control Number: 2016941328 © Springer Science+Business Media New York 2016 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. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media LLC New York
Preface
In recent years, handbooks on Data Envelopment Analysis (DEA) have been published. They include Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford, and J. Zhu, 2011, Springer), Data Envelopment Analysis: A Handbook of Modeling Internal Structures and Networks (eds, W.D. Cook and J. Zhu, 2014, Springer), Data Envelopment Analysis: A Handbook of Models and Methods (ed. J. Zhu, 2015, Springer), and Data Envelopment Analysis: A Handbook of Empirical Studies and Applications (ed. J. Zhu, 2016, Springer). It is well known that DEA is a “data-oriented” approach for evaluating the performance of a se
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