Quantitative Models for Performance Evaluation and

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Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science)

Managers are often under great pressure to improve the performance of their organizations. To improve performance, one needs to constantly evaluate operations 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 valuable when no objective or engineered standard is available to define efficient and effective performance. For this reason, benchmarking is often used in managing service operations, because service standards (benchmarks) are more difficult to define than manufacturing standards. Benchmarks can be established but they are somewhat limited as they work with single measurements one at a time. It is difficult to evaluate an organizationâ€™s performance when there are multiple inputs and outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. It is critical to show benchmarks where multiple measurements exist. The current book introduces the methodology of data envelopment analysis (DEA) and its uses in performance evaluation and benchmarking under the context of multiple performance measures.

Country	USA
Author	Joe Zhu
Binding	Hardcover
EAN	9780387859811
Edition	2nd ed. 2009
ISBN	0387859810
IsEligibleForTradeIn	1
Label	Springer
Manufacturer	Springer
NumberOfItems	1
NumberOfPages	327
PublicationDate	2008-11-21
Publisher	Springer
Studio	Springer
ReleaseDate	0000-00-00

Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science)

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