Stochastic Benchmarking : Theory and Applications / by Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh
(International Series in Operations Research & Management Science. ISSN:22147934 ; 317)
Publisher | (Cham : Springer International Publishing : Imprint: Springer) |
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Year | 2022 |
Edition | 1st ed. 2022. |
Authors | *Amirteimoori, Alireza author Sahoo, Biresh K author Charles, Vincent author Mehdizadeh, Saber author SpringerLink (Online service) |
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Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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Links to the text | Library Off-campus access |
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OB00176656 | Springer Business and Management eBooks (電子ブック) | 9783030898694 |
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Material Type | E-Book |
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Media type | 機械可読データファイル |
Size | XIII, 145 p. 18 illus : online resource |
Notes | 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 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 HTTP:URL=https://doi.org/10.1007/978-3-030-89869-4 |
Subjects | LCSH:Operations research LCSH:Stochastic models LCSH:Mathematical models LCSH:Mathematical optimization FREE:Operations Research and Decision Theory FREE:Stochastic Modelling FREE:Mathematical Modeling and Industrial Mathematics FREE:Optimization |
Classification | LCC:T57.6-.97 DC23:658.403 |
ID | 8000078765 |
ISBN | 9783030898694 |
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