Quantitative Models for Performance Evaluation and

Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science, 126)

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
Brand Springer
Manufacturer Springer
Binding Hardcover
ItemPartNumber Refer to Sapnet.
ReleaseDate 2008-11-21
UnitCount 1
Format Illustrated
EANs 9780387859811

Country	USA
Brand	Springer
Manufacturer	Springer
Binding	Hardcover
ItemPartNumber	Refer to Sapnet.
ReleaseDate	2008-11-21
UnitCount	1
Format	Illustrated
EANs	9780387859811

Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science, 126)

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