![]() ![]() ![]() The book ends with a detailed description of the DEA Excel add‐in (included with the book) including instructions on its use. Dr Zhu follows a consistent pattern of describing the modeling scenario, providing the mathematical derivation of the model, then using a numerical example to illustrate the application of the model. The topical coverage includes DEA with preference (chapter 4), context‐dependent DEA analysis (chapter 6), models for evaluating supply chains (chapter 8), congestion (chapter 7), super efficiency (chapter 10), and sensitivity analysis (chapter 11). After reviewing the subject of DEA as applied to performance analysis, Dr Zhu describes various specific performance evaluation and benchmarking scenarios and their corresponding DEA model. This review describes the book's contents and discusses its effectiveness from a variety of target audience viewpoints. ![]() While readers with the requisite technical background will likely find the book useful, many practitioners may find the coverage to be incomprehensible due to its mathematical content. ![]() The book includes descriptions of many specialized DEA models, examples of their use, and an Excel add‐in program that allows for the implementation of the models. Joe Zhu provides a well‐crafted book on data envelopment analysis (DEA) and its application to performance analysis and benchmarking. Copyright © 2005, Emerald Group Publishing Limited ![]()
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