Stochastic Benchmarking - Theory and Applications (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 317
Release date:	December 2021
First published:	2022
Authors:	Alireza Amirteimoori • Biresh K. Sahoo • Vincent Charles • Saber Mehdizadeh
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	145
Edition:	1st ed. 2022
ISBN-13:	978-3-03-089868-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-03-089868-7
Barcode:	9783030898687

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