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Quantitative Models for Performance Evaluation and Benchmarking
ISBN-13:
9783319066479
Veröffentl:
2014
Seiten:
414
Autor:
Joe Zhu
Serie:
213, International Series in Operations Research & Management Science
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
Based upon the author's years of research and teaching experiences, this 3rd Edition introduces Data Envelopment Analysis (DEA) as a data analysis tool for multiple-measure performance evaluation and benchmarking. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective.
Chapter 1: Data Envelopment Analysis.- Chapter 2: Envelopment DEA Models.- Chapter 3: Multiplier DEA Model.- Chapter 4: DEA Cross Efficiency.- Chapter 5: Slack-Based DEA Models.- Chapter 6: Measure-Specific DEA Models.- Chapter 7: Non-radical DEA Models and DEA with Preference.- Chapter 8: Modeling Undesirable Measures.- Chapter 9: Context-dependent Data Envelopment Analysis.- Chapter 10: Super Efficiency.- Chapter 11: Sensitivity Analysis.- Chapter 12: Benchmarking Models.- Chapter 13: Returns-to-Scale.- Chapter 14: DEA Models for Two-Stage Network Processes.- Chapter 15: Models for Evaluating Supply Chains and Network Structures.- Chapter 16: Congestion.- Chapter 17: Identifying Critical Measures in DEA.- Chapter 18: Interval and Ordinal Data in DEA.- Chapter 19: DEAFrontier Software.
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