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

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MILL

https://doi.org/10.1007/978-1-4757-4246-6DEA (data envelopment analysis); Data Envelopment Analysis; Data-Envelopment-Analysis; benchmarking; cal

拋棄的貨物

Measure-specific DEA Models,al improvements of inputs or outputs. This assumption becomes invalid when a preference structure over the improvement of different inputs (outputs) is present in evaluating (inefficient) DMUs (see Chapter 4). We need models where a particular set of performance measures is given pre-emptive priority to improve.

本土

Indolent

Modeling Undesirable Measures, One wants to reduce the number of defects to improve the performance. If inefficiency exists in production processes where final products are manufactured with a production of wastes and pollutants, the outputs of wastes and pollutants are undesirable and should be reduced to improve the performance.

Facet-Joints

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).

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Quantitative Models for Performance Evaluation and Benchmarking978-1-4757-4246-6Series ISSN 0884-8289 Series E-ISSN 2214-7934

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