Decision Making and Performance Evaluation Using Data Envelopment Analysis

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The book presents a comprehensive guide to performance evaluation through Data Envelopment Analysis (DEA), structured across twelve practical chapters. It begins with foundational concepts and definitions, illustrated through various examples involving different input and output factors. The mathematical underpinnings are introduced using linear programming, making the content accessible to readers with basic math skills. New terminology is carefully defined and later refined for clarity. Advanced topics such as production planning, efficiency analysis, and Malmquist indexes are explored in the latter chapters, enhancing the reader's understanding of DEA applications.