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Stochastic Benchmarking : Theory and Applications - 2022 ed.

By: (Author) Alireza Amirteimoori , (Author) Biresh K. Sahoo , (Author) Saber Mehdizadeh , (Author) Vincent Charles

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Ksh 9,900.00

Format: Paperback / Softback

ISBN-10: 3030898717

ISBN-13: 9783030898717

Edition: 2022 ed.

Series: International Series in Operations Research & Management Science

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 13th, 2022

Print length: 145 Pages

Weight: 260 grams

Dimensions (height x width x thickness): 15.50 x 23.40 x 1.30 cms

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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.

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.

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