Handbook on Data Envelopment Analysis

  • William W. Cooper
  • Lawrence M. Seiford
  • Joe Zhu
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 71)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. William W. Cooper, Lawrence M. Seiford, Joe Zhu
    Pages 1-39
  3. Rajiv D. Banker, William W. Cooper, Lawrence M. Seiford, Joe Zhu
    Pages 41-73
  4. William W. Cooper, Shanling Li, Lawrence M. Seiford, Joe Zhu
    Pages 75-97
  5. Emmanuel Thanassoulis, Maria Conceição Portela, Rachel Allen
    Pages 99-138
  6. Rolf Färe, Shawna Grosskopf, Gerald Whittaker
    Pages 139-152
  7. Wade D. Cook
    Pages 153-175
  8. William W. Cooper, Honghui Deng, Lawrence M. Seiford, Joe Zhu
    Pages 177-201
  9. Kaoru Tone
    Pages 203-227
  10. William W. Cooper, Zhimin Huang, Susan X. Li
    Pages 229-264
  11. Rajiv D. Banker, Ram Natarajan
    Pages 299-321
  12. John Ruggiero
    Pages 323-346
  13. Joseph C. Paradi, Sandra Vela, Zijiang Yang
    Pages 349-394
  14. Konstantinos P. Triantis
    Pages 401-441
  15. Timothy R. Anderson
    Pages 443-454
  16. Antreas Athanassopoulos
    Pages 455-479
  17. Jon A. Chilingerian, H. David Sherman
    Pages 481-537
  18. Richard S. Barr
    Pages 539-566
  19. Back Matter
    Pages 567-593

About this book

Introduction

Data Envelopment Analysis (DEA) is a relatively new “data-oriented” approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. 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 these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook’s chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters.

Keywords

DEA Data Envelopment Analysis Data-Envelopment-Analysis Econometrics Operations Research Production and Operations Management data envelopment modeling productivity

Editors and affiliations

  • William W. Cooper
    • 1
  • Lawrence M. Seiford
    • 2
  • Joe Zhu
    • 3
  1. 1.University of Texas at AustinUSA
  2. 2.University of Michigan at Ann ArborUSA
  3. 3.Worcester Polytechnic InstituteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b105307
  • Copyright Information Kluwer Academic Publishers 2004
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-7797-5
  • Online ISBN 978-1-4020-7798-2
  • Series Print ISSN 0884-8289
  • About this book