Titlebook: Data Envelopment Analysis; A Handbook of Modeli Wade D. Cook,Joe Zhu Book 2014 Springer Science+Business Media New York 2014 Additive Decom

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DEA Models for Extended Two-Stage Network Structures,irst stage and additional inputs to the second stage. Two models are proposed to evaluate the performance of this type two-stage network structures. One is a non-linear centralized model whose global optimal solutions can be estimated using a heuristic search procedure. The other is a non-cooperativ

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Network, Shared Flow and Multi-level DEA Models: A Critical Review,ter describes the mathematical formulations, along with their main variants, extensions and applications, of three large and popular model families: network (with special emphasis on multi-stage), shared flow (also known as multi-component or multi-activity), and multi-level models. Each family is a

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Multicomponent Efficiency Measurement in Banking,peration. In this chapter we present models for deriving aggregate measures of bank-branch performance, with accompanying component measures that make up that aggregate value. The technical difficulty surrounding the development of an appropriate model is the presence of shared resources on the inpu

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Evaluating Power Plant Efficiency: Hierarchical Models,oblem settings at least two issues need to be considered. The first is that there may be both DMU-level and cluster-level factors each of which should be considered in their proper settings. The second issue is that we wish to identify both DMU-specific and DMU-cluster efficiency measures. In the cu

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Multicomponent Efficiency Measurement and Core Business Identification in Multiplant Firms,ce not only at the DMU level but as well at the level of the particular functions within the DMU. In the current chapter we examine a set of manufacturing plants operating under a single umbrella, with the objective being to use the component or function measures to decide what might be considered a

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0884-8289 orks. Chapter 9 studies shared resources and efficiency decomposition in two-stage networks. Chapter 10 introduces an approach to computing the technical efficiency scores for a dynamic production network and i978-1-4899-7846-2978-1-4899-8068-7Series ISSN 0884-8289 Series E-ISSN 2214-7934