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Quantitative Models for Performance Evaluation and Benchmarking

Data Envelopment Analysis with Spreadsheets

  • Book
  • © 2009

Overview

Authors:
  1. Joe Zhu

    1. Dept. Management, Worcester Polytechnic Institute, Worcester, U.S.A.

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  • DEA models are presented in spreadsheets
  • New DEA software (DEAFrontier) which is an Add-In for Microsoft Excel and solves more than 150 different DEA models
  • New DEA models and approaches

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 126)

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Table of contents (14 chapters)

  1. Front Matter

    Pages 1-12
    Download chapter PDF

  2. Envelopment DEA Models

    • Joe Zhu
    Pages 1-42

  3. Multiplier and Slack-based Models

    • Joe Zhu
    Pages 1-19

  4. Measure-specific DEA Models

    • Joe Zhu
    Pages 1-14

  5. Non-radial DEA Models and DEA with Preference

    • Joe Zhu
    Pages 1-19

  6. Modeling Undesirable Measures

    • Joe Zhu
    Pages 1-11

  7. Context-dependent Data Envelopment Analysis

    • Joe Zhu
    Pages 1-21

  8. Benchmarking Models

    • Joe Zhu
    Pages 1-30

  9. Models for Evaluating Supply Chains

    • Joe Zhu
    Pages 1-26

  10. Congestion

    • Joe Zhu
    Pages 1-17

  11. Super Efficiency

    • Joe Zhu
    Pages 1-21

  12. Sensitivity Analysis

    • Joe Zhu
    Pages 1-41

  13. Identifying Critical Measures in DEA

    • Joe Zhu
    Pages 1-19

  14. Returns-to-Scale

    • Joe Zhu
    Pages 1-15

  15. DEA Models for Two-Stage Processes

    • Joe Zhu
    Pages 1-14

  16. Back Matter

    Pages 1-14
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Keywords

About this book

Managers are often under great pressure to improve the performance of their organizations. To improve performance, one needs to constantly evaluate operations or processes related to producing products, providing services, and marketing and selling products. Performance evaluation and benchmarking are a widely used method to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuable when no objective or engineered standard is available to define efficient and effective performance. For this reason, benchmarking is often used in managing service operations, because service standards (benchmarks) are more difficult to define than manufacturing standards. Benchmarks can be established but they are somewhat limited as they work with single measurements one at a time. It is difficult to evaluate an organization’s performance when there are multiple inputs and outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. It is critical to show benchmarks where multiple measurements exist. The current book introduces the methodology of data envelopment analysis (DEA) and its uses in performance evaluation and benchmarking under the context of multiple performance measures.

Authors and Affiliations

  • Dept. Management, Worcester Polytechnic Institute, Worcester, U.S.A.

    Joe Zhu

About the author

Joe Zhu is Associated Professor of Operations, Department of Management at Worcester Polytechnic Institute, Worcester, MA. His research interests include issues of performance evaluation and benchmarking, supply chain design and efficiency, and Data Envelopment Analysis. He has published over 70 articles in journals such as Management Science, Operations Research, IIE Transactions, Annals of Operations Research, Journal of Operational Research Society, European Journal of Operational Research, Information Technology and Management Journal, Computer and Operations Research, OMEGA, Socio-Economic Planning Sciences, Journal of Productivity Analysis, INFOR, Journal of Alternative Investment and others. He is the author of Quantitative Models for Evaluating Business Operations: Data Envelopment Analysis with Spreadsheets (Kluwer Academic Publishers, 2003). He developed the DEAFrontier software which is a DEA add-in for Microsoft Excel. Professor Zhu has also co-authored two books on modeling performance measurement and evaluating hedge funds. He is a co-editor of the DEA handbook. He is an Associate Editor of OMEGA and The Asia-Pacific Journal of Operational Research. He is also a member of Computers & Operations Research Editorial Board. For more information on his research, please visit www.deafrontier.com.

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