Decision Making and Performance Evaluation Using Data Envelopment Analysis

  • Dariush Khezrimotlagh
  • Yao Chen

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 269)

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Dariush Khezrimotlagh, Yao Chen
    Pages 1-32
  3. Dariush Khezrimotlagh, Yao Chen
    Pages 33-67
  4. Dariush Khezrimotlagh, Yao Chen
    Pages 69-105
  5. Dariush Khezrimotlagh, Yao Chen
    Pages 107-134
  6. Dariush Khezrimotlagh, Yao Chen
    Pages 135-182
  7. Dariush Khezrimotlagh, Yao Chen
    Pages 183-215
  8. Dariush Khezrimotlagh, Yao Chen
    Pages 217-234
  9. Dariush Khezrimotlagh, Yao Chen
    Pages 235-250
  10. Dariush Khezrimotlagh, Yao Chen
    Pages 251-288
  11. Dariush Khezrimotlagh, Yao Chen
    Pages 289-301
  12. Dariush Khezrimotlagh, Yao Chen
    Pages 303-356
  13. Dariush Khezrimotlagh, Yao Chen
    Pages 357-385
  14. Back Matter
    Pages 387-392

About this book


This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA). The book has twelve practical chapters. Elementary concepts and definitions are gradually built in Chapters 1-6 based upon four examples of one input and one output factors, two input factors, two output factors, and four input and three output factors. Simultaneously, the mathematical foundations using linear programming are also introduced without any prerequisites. A reader with basic knowledge of mathematics and computers is able to understand the contents of the book. In addition, to prevent pre-judgment about the available concepts and definitions in the DEA literature, some new phrases are introduced and, after elucidating each phrase in detail in Chapters 1-6, they are reintroduced for industry-wide accuracy in Chapter 7. After that, some of the more advanced DEA topics are illustrated in Chapters 8-12, such as: production-planning problems, output-input ratio analysis, efficiency over different time periods, Malmquist efficiency indexes, and a delta neighborhood model.

A clear overview of many of the elementary and advanced concepts of DEA is provided, including Technical Efficiency, Relative Efficiency, Cost/Revenue/Profit Efficiency, Price/Overall Efficiency, the DEA axioms, the mathematical background to measure technical efficiency and overall efficiency, the multiplier/envelopment form of basic DEA models in input/output-orientation, the multiplier/envelopment of Additive DEA model, the multiplier/envelopment of slacks-based models, and others. The book also covers a variety of DEA techniques, input-output ratio analysis, the natural relationships between DEA frontier and the ratio of output to input factors, production-planning problems, planning ideas with a centralized decision-making unit, context-dependent DEA, Malmquist efficiency index, efficiency over different time periods, and others. End-of-chapter exercises are provided for each chapter.


Data Envelopment Analysis (DEA) Input Factor Output Factor Performance Evaluation Gemstone Example Context-Dependent DEA Efficiency Change Malmquist Index

Authors and affiliations

  • Dariush Khezrimotlagh
    • 1
  • Yao Chen
    • 2
  1. 1.Computer Science & MathematicsPenn State UniversityHarrisburgUSA
  2. 2.Manning School of BusinessUniversity of Massachusetts at LowellLowellUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-76344-6
  • Online ISBN 978-3-319-76345-3
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site
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