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Data Envelopment Analysis and Effective Performance Assessment

Book Description

For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations management assessment. Data Envelopment Analysis and Effective Performance Assessment addresses the myriad of practical uses and innovative developments of DEA. Emphasizing the importance of analyzing productivity by measuring inputs, goals, economic growth, and performance, this book covers a wide breadth of innovative knowledge. This book is essential reading for managers, business professionals, students of business and ICT, and computer engineers.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Preface
  6. Chapter 1: Classifying the Usage of Multiple Objective Decision Making Techniques in Data Envelopment Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. RESULTS OF CLASSIFICATION
    5. DISCUSSION AND CONCLUSION
    6. REFERENCES
  7. Chapter 2: A Survey on Models and Methods for Preference Voting and Aggregation
    1. ABSTRACT
    2. INTRODUCTION
    3. PRELIMINARIES
    4. DISCRIMINATING EFFICIENT CANDIDATES
    5. CONCLUSION
    6. REFERENCES
  8. Chapter 3: Application of Malmquist Productivity Index in Integrated Units of Power Plant
    1. ABSTRACT
    2. INTRODUCTION
    3. REFERENCES
  9. Chapter 4: Evaluation of Faculties by DEA-ANP Hybrid Algorithm of Chapter
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DEA – ANP HYBRID ALGORITHM APPROACH
    5. INTEGRATION OF INPUT AND OUTPUT VARIABLES
    6. RANKING OF FACULTIES BY DEA-ANP: EDUCATIONAL SCOPE
    7. COMPARISON BETWEEN RESULTS OF DEA-ANP AND DEA: EDUCATIONAL SCOPE
    8. RANKING FACULTIES BY USING THE DEA CLASSIC METHODS: RESEARCH SCOPE
    9. RANKING FACULTIES BY THE HYBRID ALGORITHM DEA-ANP: RESEARCH SCOPE
    10. COMPARISONS BETWEEN RESULTS OF DEA AND DEA-ANP: RESEARCH SCOPE
    11. CONCLUSION
    12. REFERENCES
  10. Chapter 5: Evaluation of Supplier Performance and Efficiency
    1. ABSTRACT
    2. INTRODUCTION
    3. DATA ENVELOPMENT ANALYSIS
    4. FUNDAMENTAL CONCEPTS OF DEA TECHNIQUE
    5. RANKING METHODS IN DEA
    6. SUPPLIER CLASSIFICATION
    7. OBJECTIVES OF THE CHAPTER
    8. IMPORTANCE OF SUPPLIER EVALUATION
    9. PROBLEM RELATED TO SUPPLIER EVALUATION
    10. LITERATURE REVIEW
    11. METHODOLOGY
    12. ANALYSIS AND DISCUSSIONS
    13. RESULTS AND DISCUSSION
    14. CONCLUSION
    15. REFERENCES
  11. Chapter 6: Productivity Assessment in Data Envelopment Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. CONCLUSION
    6. REFERENCES
  12. Chapter 7: Ranking Models in Data Envelopment Analysis Technique
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. CONCLUSION
    6. REFERENCES
  13. Chapter 8: Performance Evaluation of Suppliers with Undesirable Outputs Using DEA
    1. ABSTRACT
    2. INTRODUCTION
    3. CONCLUSION
    4. REFERENCES
  14. Compilation of References
  15. About the Contributors