Stochastic benchmarking : theory and applications / Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh.
2022
HD62.15 .A55 2022
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Title
Stochastic benchmarking : theory and applications / Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh.
ISBN
9783030898694 (electronic bk.)
3030898695 (electronic bk.)
9783030898687
3030898687
3030898695 (electronic bk.)
9783030898687
3030898687
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations
Item Number
10.1007/978-3-030-89869-4 doi
Call Number
HD62.15 .A55 2022
Dewey Decimal Classification
658.5/62
Summary
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book's main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations. This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 17, 2021).
Series
International series in operations research & management science ; 317. 2214-7934
Available in Other Form
Stochastic benchmarking.
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Table of Contents
1. Benchmarking
2. An Introduction to Data Envelopment Analysis
3. Probability Theory
4. Stochastic Data Envelopment Analysis
5. Stochastic Network Data Envelopment Analysis
6. Stochastic Scale Elasticity.
2. An Introduction to Data Envelopment Analysis
3. Probability Theory
4. Stochastic Data Envelopment Analysis
5. Stochastic Network Data Envelopment Analysis
6. Stochastic Scale Elasticity.