![]() ![]() For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. The user can easily develop and customize new DEA models based upon these spreadsheets.ĭEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. ![]() 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.Ĭonventional and new DEA approaches are presented and discussed using Excel spreadsheets - one of the most effective ways to analyze and evaluate decision alternatives. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. This book is based upon the author’s years of research and teaching experiences. 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.
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