Titlebook: Quantitative Models for Performance Evaluation and Benchmarking; Data Envelopment Ana Joe Zhu Book 20031st edition Springer-Verlag US 2003

Prologue

Congestion,n be found in underground mining and agriculture. For example, too much fertilizer applied to a given plot could reduce the overall output. We here adopt the following definition of congestion from Cooper, Thompson and Thrall (1996).

發(fā)展

Super Efficiency,odels. Churns, Haag, Jaska and Semple (1992) use a super-efficiency model to study the sensitivity of the efficiency classifications. Zhu (1996b) and Seiford and Zhu (1998d) develop a number of new super-efficiency models to determine the efficiency stability regions (see Chapter 11). Andersen and P

MORPH

Sensitivty Analysis and Its Uses,vity studies focus on the sensitivity of DEA results to the variable and model selection, e.g., Ahn and Seiford (1993). Most of the DEA sensitivity analysis studies focus on the misspecification of efficiency classification of a test DMU. However, note that DEA is an extremal method in the sense tha

脫落

DEA Excel Solver,olver.xla” requires Excel 97 or later versions. The DEA Excel Solver provides you with the ability to perform the DEA models presented in the Chapters 1–11 and additional DEA methods discussed in the current chapter.

使尷尬

Book 20031st editionerations or processes related to producing products, providing services, and marketing and selling products. Performance evaluation and benchmarking are a widely used method to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuabl

guzzle

Quantitative Models for Performance Evaluation and BenchmarkingData Envelopment Ana

進(jìn)步

偽證

0884-8289 the outputs are complex and involve unknown tradeoffs. It is critical to show benchmarks where multiple measurements exist. The current book introduces the meth978-1-4757-4246-6Series ISSN 0884-8289 Series E-ISSN 2214-7934

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Joe Zhuo express my appreciation for the support of Josh Eliashberg, editor of the International Series in Quantitative Marketing, as well as Zachary Rolnik, Director, and David Cella, Publishing Editor, of Kluwer. Their encouragement has provided crucial motivation in this endeavor.