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Table of contents (9 chapters)
Keywords
About this book
In other applications, DEA has been used to supply new insights into business activities and into the methods that have been used to evaluate these activities. These include `benchmarking' studies of professional organizations including legal and accounting societies, as well as organizational forms--such as evaluating the relative efficiencies of the `mutual' vs. `corporate' forms of organization that are used in the U.S. insurance industry. Finally, DEA can also be used to evaluate objects as well as governmental, business and societal activities. For example, a test study found that DEA compared favorably with traditional engineering approaches for use in evaluating the relative efficiencies of jet aircraft engines. These advantages accrued to DEA because of its ability to simultaneously handle multiple outputs and inputs without having to first specify a system of weights for use in effecting these evaluations.
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References, and DEA-Solver Software is designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The objective is to introduce students, researchers, and practitioners in business, economics, engineering, and the sciences to Data Envelopment Analysis.
The authors have been involved in DEA's development from the beginning. William Cooper (with Abraham Charnes and Edwardo Rhodes) is a founder of DEA. Lawrence Seiford and Kaoru Tone have been actively involved as researchers and practitioners from its earliest beginnings. All have been deeply involved in uses of DEA in practical applications as well as in the development of its basic theory and methodologies. The result is a textbook grounded in authority, experience and substance.
Please see the book's preface for chapter-by-chapter information on specific features and information on the supporting DEA-Solver software. The preface can be found and downloaded at the internet.
Reviews
From the reviews of the second edition:
`Finally, in my opinion Cooper, Seiford and Tone provides a well-chosen overview of important DEA methods. The book is written in a scientific manner, which is suitable for researchers and students as well as for practioners.'
Operations Research Specktrum 23: (2001)
`Overall, the book is a very useful reference text for researchers as well as students, particularly in engineering and business programms.'
Interfaces, 31:3(2001)
"Data Envelopment Analysis (DEA) is a quantitative tool for measuring and evaluating performance. The co-authors of the textbook are renowned researchers and experienced educators in this field: the first co-author, W. W. Cooper, is a founder … of DEA, and the two other co-authors are involved in research and applications of DEA from its early beginning. The textbook presents the basic theoretical results and methods aiming at a broad audience of readers. … The textbook includes a good collection of problems for classroom exercises." (Antanas Žilinskas, Zentralblatt MATH, Vol. 1111 (8), 2007)
Authors and Affiliations
Bibliographic Information
Book Title: Data Envelopment Analysis
Book Subtitle: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
Authors: William W. Cooper, Lawrence M. Seiford, Kaoru Tone
DOI: https://doi.org/10.1007/b109347
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
eBook ISBN: 978-0-306-47541-2Published: 08 May 2007
Edition Number: 1
Number of Pages: XXVIII, 318
Number of Illustrations: 13 b/w illustrations
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory, Econometrics, Microeconomics