This volume details basic principles and new developments in Data Envelopment Analysis (DEA). New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA.

Data Envelopment Analysis (DEA) has grown into a powerful, quantitative analytical tool for measuring and evaluating performance. This volume offers a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter illustrates its concepts with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment. For this new second edition, the final seven chapters have been completely revised, reflecting recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. This new edition systematically details both basic principles and new developments in DEA, offering a solid understanding of the methodology, its uses, and its potential.

The book thoroughly and systematically introduces Data Envelopment Analysis (DEA) to students and interested researchers. DEA is the most powerful and useful methodology for examining efficiencies in all organizations (or entities), especially service organizations - for example, financial, government, health care, utilities, etc. DEA has also been used to supply new insights into activities (and entities) that have previously been evaluated by other methods. For instance, studies of benchmarking practices with DEA have identified numerous sources of inefficiency in some of the most profitable firms in fact, the firms that served as industry benchmarks Much of modern industrial economies (USA and Europe) are service economies. As a result, this book with its elucidation of DEA methodology is one of the more powerful and useful tools for economists, operations researchers, and applied mathematicians to use in the study of economic performance issues and problems The authors have been involved in DEA 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 Includes supplementary material: sn.pub/extras

Klappentext

This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment.

Inhalt
General Discussion.- The Basic CCR Model.- The CCR Model and Production Correspondence.- Alternative Dea Models.- Returns to Scale.- Models with Restricted Multipliers.- Non-Discretionary and Categorical Variables.- Allocation Models.- Data Variations.- Super-Efficiency Models.- Efficiency Change over Time.- Scale Elasticity and Congestion.- Undesirable Outputs Models.- Economies of Scope and Capacity Utilization.- A Dea Game.- Multi-Stage Use of Parametric and Non-Parametric Models.