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Can I read Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science Book 213) on EtoBox?
Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science Book 213) by Joe Zhu (auth.) is a nonfiction available to read on EtoBox.
What is Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science Book 213) about?
The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. 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
Who reads Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science Book 213)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Joe Zhu (auth.)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2014
- Language
- EN
- ISBN
- 9783319066479
- Category
- nonfiction
- Subjects
- Business, Management, Science
Other editions & translations
- Quantitative Models for Performance Evaluation and Benchmarking : Data Envelopment Analysis with Spreadsheets and DEA Excel Solver (2003)
- Quantitative Models for Performance Evaluation and Benchmarking Volume 126 || (2009)
- Quantitative Models for Performance Evaluation and Benchmarking Volume 51 || (2003)
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