Data envelopment analysis : a comprehensive text with models, applications, references, and DEA-Solver software /

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In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a host of different entities engaged in a wide variety of activities in many contexts worldwide....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cooper, William W. (William Wager), 1914-2012
Otros Autores: Seiford, Lawrence M., Tone, Kaoru, 1931-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Kluwer Academic, ©2000.
Temas:
Data envelopment analysis.
SOCIAL SCIENCE > Methodology.
Data envelopment analysis
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Table of Contents
  • List of Tables
  • List of Figures
  • Preface
  • 1. GENERAL DISCUSSION
  • 1.1 Introduction
  • 1.2 Single Input and Single Output
  • 1.3 Two Inputs and One Output Case
  • 1.4 One Input and Two Outputs Case
  • 1.5 Fixed and Variable Weights
  • 1.6 Summary and Conclusion
  • 1.7 Problem Supplement for Chapter 1
  • 2. THE BASIC CCR MODEL
  • 2.1 Introduction
  • 2.2 Data
  • 2.3 The CCR Model
  • 2.4 From a Fractional to a Linear Program
  • 2.5 Meaning of Optimal Weights
  • 2.6 Explanatory Examples
  • 2.7 Illustration of Example 2.2
  • 2.8 Summary
  • 2.9 Selected Bibliography
  • 2.10 Problem Supplement for Chapter 2
  • 3. THE CCR MODEL AND PRODUCTION CORRESPONDENCE
  • 3.1 Introduction
  • 3.2 Production Possibility Set
  • 3.3 The CCR Model and Dual Problem
  • 3.4 The Reference Set and Improvement in Efficiency
  • 3.5 Theorems on CCR-Efficiency
  • 3.6 Computational Aspects of the CCR Model
  • 3.7 Example
  • 3.8 The Output-Oriented Model
  • 3.9 An Extension of the Two Phase Process in the CCR Model
  • 3.10 Discretionary and Non-Discretionary Inputs
  • 3.11 Summary of Chapter 3
  • 3.12 Notes and Selected Bibliography
  • 3.13 Related DEA-Solver Models for Chapter 3
  • 3.14 Problem Supplement for Chapter 3
  • 4. ALTERNATIVE DEA MODELS
  • 4.1 Introduction
  • 4.2 The BCC Models
  • 4.3 The Additive Model
  • 4.4 A Slacks-Based Measure of Efficiency (SBM)
  • 4.5 Summary of the Basic DEA Models
  • 4.6 Summary of Chapter 4
  • 4.7 Notes and Selected Bibliography
  • 4.8 Appendix: Free Disposal Hull (FDH) Models
  • 4.9 Related DEA-Solver Models for Chapter 4
  • 4.10 Problem Supplement for Chapter 4
  • 5. RETURNS TO SCALE
  • 5.1 Introduction
  • 5.2 Geometric Portrayals in DEA
  • 5.3 BCC Returns to Scale
  • 5.4 CCR Returns to Scale
  • 5.5 Most Productive Scale Size
  • 5.6 Further Considerations
  • 5.7 Relaxation of the Convexity Condition
  • 5.8 Decomposition of Technical Efficiency
  • 5.9 An Example of Returns to Scale Using a Bank Merger Simulation
  • 5.10 Summary of Chapter 5
  • 5.11 Related DEA-Solver Models for Chapter 5
  • 5.12 Problem Supplement for Chapter 5
  • 6. MODELS WITH RESTRICTED MULTIPLIERS
  • 6.1 Introduction
  • 6.2 Assurance Region Method
  • 6.3 Cone-Ratio Method
  • 6.4 An Application of the Cone-Ratio Model
  • 6.5 Negative Slack Values and Their Uses
  • 6.6 A Decision-Making Method Using Assurance Region Models
  • 6.7 Summary of Chapter 6
  • 6.8 Notes and Selected Bibliography
  • 6.9 Related DEA-Solver Models for Chapter 6
  • 6.10 Problem Supplement for Chapter 6
  • 7. DISCRETIONARY, NON-DISCRETIONARY AND CATEGORICAL VA
  • 7.1 Introduction
  • 7.2 Examples
  • 7.3 An Application
  • 7.4 DEA with Categorical DMUs
  • 7.5 Comparisons of Efficiency between Different Systems
  • 7.6 Rank-Sum Statistics and DEA
  • 7.7 Summary of Chapter 7
  • 7.8 Notes and Selected Bibliography
  • 7.9 Related DEA-Solver Models for Chapter 7
  • 7.10 Problem Supplement for Chapter 7
  • 8. ALLOCATION MODELS
  • 8.1 Introduction
  • 8.2 Profit Objectives
  • 8.3 Radial Efficie.

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