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Book 图书名称：Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets
Author 作者： Joe Zhu
Publisher 出版社： Springer International Publishing
Page 页数： 414
Publishing Date 出版时间： 3rd ed. 2014. Corr. 2nd printing 2014 edition (January 9, 2015)
Language 语言：English
Size 大小：24 MB
Format 格式：pdf
ISBN: 978-3-319-06646-2, 978-3-319-06647-9
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.
Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets.
DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores.
This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver.
== Table of contents ==
Content:
Front Matter....Pages i-xvii
Data Envelopment Analysis....Pages 1-9
Envelopment DEA Models....Pages 11-48
Multiplier DEA Model....Pages 49-60
DEA Cross Efficiency....Pages 61-92
Slack-Based DEA Models....Pages 93-101
Measure-Specific DEA Models....Pages 103-119
Non-radial DEA Models and DEA with Preference....Pages 121-140
Modeling Undesirable Measures....Pages 141-151
Context-dependent Data Envelopment Analysis....Pages 153-174
Super Efficiency....Pages 175-206
Sensitivity Analysis....Pages 207-244
Benchmarking Models....Pages 245-276
Returns-to-Scale....Pages 277-290
DEA Models for Two-Stage Network Processes....Pages 291-309
Models for Evaluating Supply Chains and Network Structures....Pages 311-344
Congestion....Pages 345-361
Identifying Critical Measures in DEA....Pages 363-381
Interval and Ordinal Data in DEA....Pages 383-398
DEAFrontier Software....Pages 399-407
Back Matter....Pages 409-414
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