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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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发表于 2025-3-21 18:23:11 | 显示全部楼层 |阅读模式
书目名称Data Envelopment Analysis
副标题A Handbook of Modeli
编辑Wade D. Cook,Joe Zhu
视频videohttp://file.papertrans.cn/263/262799/262799.mp4
概述Editors are two of the most prominent researchers in the field.Prestigious group of contributors.Covers the cutting edge topics not covered in the latest version of the Handbook.Includes supplementary
丛书名称International Series in Operations Research & Management Science
图书封面Titlebook: Data Envelopment Analysis; A Handbook of Modeli Wade D. Cook,Joe Zhu Book 2014 Springer Science+Business Media New York 2014 Additive Decom
描述.This handbook serves as a complement to the .Handbook on Data Envelopment Analysis. (eds, W.W. Cooper, L.M. Seiford and J, Zhu, 2011, Springer) in an effort to extend the frontier of DEA research. It provides a comprehensive source for the state-of-the art DEA modeling on internal structures and network DEA. Chapter 1 provides a survey on two-stage network performance decomposition and modeling techniques. Chapter 2 discusses the pitfalls in network DEA modeling. Chapter 3 discusses efficiency decompositions in network DEA under three types of structures, namely series, parallel and dynamic. Chapter 4 studies the determination of the network DEA frontier. In chapter 5 additive efficiency decomposition in network DEA is discussed. An approach in scale efficiency measurement in two-stage networks is presented in chapter 6. Chapter 7 further discusses the scale efficiency decomposition in two stage networks. Chapter 8 offers a bargaining game approach to modeling two-stage networks. 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 i
出版日期Book 2014
关键词Additive Decomposition; DEA; Data Envelopment Analysis; Efficiency Decomposition; Internal Structure DEA
版次1
doihttps://doi.org/10.1007/978-1-4899-8068-7
isbn_softcover978-1-4899-7846-2
isbn_ebook978-1-4899-8068-7Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

书目名称Data Envelopment Analysis影响因子(影响力)




书目名称Data Envelopment Analysis影响因子(影响力)学科排名




书目名称Data Envelopment Analysis网络公开度




书目名称Data Envelopment Analysis网络公开度学科排名




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书目名称Data Envelopment Analysis被引频次学科排名




书目名称Data Envelopment Analysis年度引用




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Network DEA Pitfalls: Divisional Efficiency and Frontier Projection, a simple two-stage process to a complex system where multiple divisions are linked together with intermediate measures. In general, there are two types of network DEA models. One is developed under the standard multiplier DEA models based upon the DEA ratio efficiency, and the other under the envel
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Two-Stage Network Processes: DEA Frontier Identification,o stage network processes, all the outputs from the first stage are intermediate measures that make up the inputs to the second stage. Due to the existence of intermediate measures, the usual procedure of adjusting the inputs or outputs by the efficiency scores, as in the standard DEA approach, does
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Scale Efficiency Measurement in Two-Stage Production Systems,onal data envelopment analysis approach is able to decompose the overall efficiency of a system into the product of the technical and scale efficiencies when the internal structure is ignored. For two-stage systems, where the inputs are supplied to the first process to produce intermediate products
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Shared Resources and Efficiency Decomposition in Two-Stage Networks,e distinguishing characteristic is that some of the inputs to the first stage are also consumed by the second stage, and some of the shared inputs cannot be conveniently split up and allocated to operations of the two stages. Recognizing this distinction is critical for these types of DEA applicatio
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