Data Envelopment Analysis (DEA) is a method for evaluating the relative efficiency of decision-making units (DMUs) by comparing their inputs and outputs. This book provides a comprehensive overview of DEA, including its theoretical foundations, various models, and practical applications. The authors, William W. Cooper, Lawrence M. Seiford, and Kaoru Tone, present the key concepts and developments in DEA, emphasizing its use in evaluating the efficiency of different entities such as businesses, government agencies, and educational institutions. The book begins with an introduction to DEA, explaining its purpose and the types of efficiency it measures, including allocative, technical, and scale efficiency. It then discusses the CCR model, which is a fundamental approach in DEA for evaluating efficiency. The authors also explore alternative DEA models, such as the BCC model, the additive model, and the slacks-based measure (SBM) model, each of which offers different ways to assess efficiency. The text covers various aspects of DEA, including returns to scale, the use of restricted multipliers, and the handling of non-discretionary and categorical variables. It also addresses the use of DEA in allocation models, data variations, and super-efficiency models. The authors provide detailed explanations of these concepts, along with numerical examples and practical applications. The book includes a variety of case studies and examples to illustrate the application of DEA in real-world scenarios. These examples range from evaluating the efficiency of banks and hospitals to analyzing the performance of public libraries and government agencies. The authors also discuss the use of DEA in comparing different systems and organizations, highlighting its versatility in addressing a wide range of efficiency evaluation problems. The text is accompanied by a DEA-Solver software package, which allows users to apply DEA models to their own data. The software is described in detail, along with its features and capabilities. The authors also provide a comprehensive bibliography and references to further reading, making the book a valuable resource for both academics and practitioners in the field of operations research and management science. Overall, this book serves as an essential guide to understanding and applying Data Envelopment Analysis. It provides a thorough explanation of the theoretical and practical aspects of DEA, making it accessible to a wide audience of researchers, students, and professionals. The inclusion of numerous examples, case studies, and practical applications ensures that readers can apply DEA effectively in their own work.Data Envelopment Analysis (DEA) is a method for evaluating the relative efficiency of decision-making units (DMUs) by comparing their inputs and outputs. This book provides a comprehensive overview of DEA, including its theoretical foundations, various models, and practical applications. The authors, William W. Cooper, Lawrence M. Seiford, and Kaoru Tone, present the key concepts and developments in DEA, emphasizing its use in evaluating the efficiency of different entities such as businesses, government agencies, and educational institutions. The book begins with an introduction to DEA, explaining its purpose and the types of efficiency it measures, including allocative, technical, and scale efficiency. It then discusses the CCR model, which is a fundamental approach in DEA for evaluating efficiency. The authors also explore alternative DEA models, such as the BCC model, the additive model, and the slacks-based measure (SBM) model, each of which offers different ways to assess efficiency. The text covers various aspects of DEA, including returns to scale, the use of restricted multipliers, and the handling of non-discretionary and categorical variables. It also addresses the use of DEA in allocation models, data variations, and super-efficiency models. The authors provide detailed explanations of these concepts, along with numerical examples and practical applications. The book includes a variety of case studies and examples to illustrate the application of DEA in real-world scenarios. These examples range from evaluating the efficiency of banks and hospitals to analyzing the performance of public libraries and government agencies. The authors also discuss the use of DEA in comparing different systems and organizations, highlighting its versatility in addressing a wide range of efficiency evaluation problems. The text is accompanied by a DEA-Solver software package, which allows users to apply DEA models to their own data. The software is described in detail, along with its features and capabilities. The authors also provide a comprehensive bibliography and references to further reading, making the book a valuable resource for both academics and practitioners in the field of operations research and management science. Overall, this book serves as an essential guide to understanding and applying Data Envelopment Analysis. It provides a thorough explanation of the theoretical and practical aspects of DEA, making it accessible to a wide audience of researchers, students, and professionals. The inclusion of numerous examples, case studies, and practical applications ensures that readers can apply DEA effectively in their own work.