Data Envelopment Analysis: Theory, Methodology, and Application

Data Envelopment Analysis: Theory, Methodology, and Application

1994 | Abraham Charnes, William W. Cooper, Arie Y. Lewin, Lawrence M. Seiford
Data Envelopment Analysis (DEA) is a method for measuring the relative efficiency of decision-making units (DMUs) that convert multiple inputs into multiple outputs. This book, authored by Abraham Charnes, William W. Cooper, Arie Y. Lewin, and Lawrence M. Seiford, is the first comprehensive reference text on DEA. It provides a thorough review and comparative discussion of basic DEA models, along with important modeling extensions. The book also covers the actual process of conducting DEA analyses, including the integration of DEA with parametric techniques. It traces the applications-driven evolution and diffusion of DEA across disciplines, includes a comprehensive bibliography, and presents fifteen novel applications of DEA. The book was originally developed from a conference on new uses of DEA in management and public policy, held in 1989. The production of the book was delayed due to the illness of Professor Charnes, who passed away before the final product was completed. The book is dedicated to George Kozmetsky, who supported the development of DEA. The authors intend for this book to serve as an introduction to DEA for new users and as a reference for those already familiar with the method. It aims to provide a foundation for future research and applications of DEA. The book includes a detailed bibliography and references, as well as an index. It is a milestone in the development of DEA and is recommended for researchers and practitioners in various fields.Data Envelopment Analysis (DEA) is a method for measuring the relative efficiency of decision-making units (DMUs) that convert multiple inputs into multiple outputs. This book, authored by Abraham Charnes, William W. Cooper, Arie Y. Lewin, and Lawrence M. Seiford, is the first comprehensive reference text on DEA. It provides a thorough review and comparative discussion of basic DEA models, along with important modeling extensions. The book also covers the actual process of conducting DEA analyses, including the integration of DEA with parametric techniques. It traces the applications-driven evolution and diffusion of DEA across disciplines, includes a comprehensive bibliography, and presents fifteen novel applications of DEA. The book was originally developed from a conference on new uses of DEA in management and public policy, held in 1989. The production of the book was delayed due to the illness of Professor Charnes, who passed away before the final product was completed. The book is dedicated to George Kozmetsky, who supported the development of DEA. The authors intend for this book to serve as an introduction to DEA for new users and as a reference for those already familiar with the method. It aims to provide a foundation for future research and applications of DEA. The book includes a detailed bibliography and references, as well as an index. It is a milestone in the development of DEA and is recommended for researchers and practitioners in various fields.
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