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Data Envelopment Analysis : A Handbook of Models and Methods / edited by Joe Zhu.

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Format:
Book
Contributor:
Zhu, Joe., Editor.
Series:
International Series in Operations Research & Management Science, 2214-7934 ; 221
Language:
English
Subjects (All):
Operations research.
Management science.
Industrial engineering.
Production engineering.
Operations Research and Decision Theory.
Operations Research, Management Science.
Industrial and Production Engineering.
Local Subjects:
Operations Research and Decision Theory.
Operations Research, Management Science.
Industrial and Production Engineering.
Physical Description:
1 online resource (472 p.)
Edition:
1st ed. 2015.
Place of Publication:
New York, NY : Springer US : Imprint: Springer, 2015.
Language Note:
English
Summary:
This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.
Contents:
Distance Functions in Primal and Dual Spaces
DEA Cross Efficiency
DEA Cross Efficiency Under Variable Returns to Scale
Discrete and Integer Valued Inputs and Outputs in Data Envelopnebt Analysis
DEA Models with Production Trade-offs and Weight Restrictions
Facet Analysis in Data Envelopment Analysis
Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework
Translation Invariance in Data Envelopment Analysis
Scale Elasticity in Non-parametric DEA Approach
DEA Based Benchmarking Models
Data Envelopment Analysis with Non-Homogeneous DMUs
Efficiency Measurement in Data Envelopment Analysis with Fuzzy Data
Partial Input to Output Impacts in DEA: Production Considerations and Resource Sharing Among Business Sub-Units
Super-efficiency in Data Envelopment Analysis
DEA Models with Undesirable Inputs
Frontier Differences and the Global Malmquist Index.
Notes:
Description based upon print version of record.
Includes bibliographical references at the end of each chapters and index.
ISBN:
1-4899-7553-5

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