Handbook on Data Envelopment Analysis

This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-art of DEA methodology and its uses. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work.

The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.

• DEA
• Data Envelopment Analysis
• Econometrics
• Operations Research
• Production and Operations Management
• Productivity

From the reviews:

"This handbook provides a valuable overview of DEA models on the one hand and many DEA applications supplemented by software information on the other hand. … can be recommended to researchers, students and practitioners with basic knowledge of DEA who are interested in current DEA methodology and applications." (Andreas Kleine, OR-News Gesellschaft für Operations Research (GOR) e.V., Iss. 24, Juli, 2005)

• McCombs School of Business, Dept. Management Science &, University of Texas, Austin, Austin, USA

  William W. Cooper

• Dept. Industrial and, Operations Engineering, University of Michigan, Ann Arbor, USA

  Lawrence M. Seiford

• Dept. Management, Worcester Polytechnic Institute, Worcester, USA

  Joe Zhu

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