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Quantitative Models for Performance Evaluation and Benchmarking Data Envelopment Analysis with Spreadsheets /

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 pe...

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Hlavní autor: Zhu, Joe. (Autor, http://id.loc.gov/vocabulary/relators/aut)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2014.
Vydání:3rd ed. 2014.
Edice:International Series in Operations Research & Management Science, 213
Témata:
Operations research.
Decision making.
Management science.
Industrial engineering.
Production engineering.
Operations Research/Decision Theory.
Operations Research, Management Science.
Industrial and Production Engineering.
On-line přístup:https://doi.org/10.1007/978-3-319-06647-9
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Obsah:
  • 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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