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

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Sensitivty Analysis and Its Uses,t all extreme points are characterized as efficient. If data entry errors occur for various DMUs, the resulting isoquant may vary substantially. We say that the calculated frontiers of DEA models are stable if the frontier DMUs that determine the DEA frontier remain on the frontier after particular data perturbations are made.
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Basic DEA Models,ers want. The transformation involves the use of inputs made up of labor, materials, energy, machines, and other resources, and the generation of outputs of finished products, services, customer satisfaction, and other outcomes. Consider hospital operations, for example. The inputs include doctors,
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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 performanc
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Models for Evaluating Value Chains,nitor the “conversions” of these resources (inputs) into the desired outputs. However, each process or system can include many subprocesses. For example, if the process is to make a car, then important subprocesses include assembling and painting. If we evaluate the efficiency of a supply chain syst
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