Alireza Amirteimoori,Biresh K. Sahoo,Vincent Charles,Saber Mehdizadeh
Stochastic Benchmarking: Theory and Applications
Stochastic Benchmarking: Theory and Applications
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- More about Stochastic Benchmarking: Theory and Applications
This book provides an introduction to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and offers stochastic models for variations in inputs and outputs. It focuses on the application of theories and interpretations of mathematical programs combined with economic and organizational thinking, with simple examples, graphical illustrations, and real-world applications. It is intended for graduate and PhD students, advanced consultants, and practitioners interested in quantitative performance evaluation.
Format: Hardback
Length: 145 pages
Publication date: 12 December 2021
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into benchmarking techniques in the realm of stochastic environments, with a primary focus on stochastic data envelopment analysis (DEA). It presents stochastic models in DEA to account for variations in inputs and outputs, fostering a deeper understanding of the economic and organizational aspects involved. The book's main objective is to shed light on the advantages of different methods in deterministic and stochastic environments, equipping readers with the skills to effectively apply these methods in various scenarios.
To enhance comprehension, simple examples, accompanied by graphical illustrations and real-world applications from the industry, are provided. The models introduced herein are versatile and can be easily utilized for both theoretical and real-world evaluations. This book is specifically designed for advanced graduate and PhD students, experienced consultants, and practitioners with a keen interest in quantitative performance evaluation.
By exploring the complexities of stochastic environments and offering practical insights, this book serves as a valuable resource for those seeking to advance their knowledge and expertise in performance analysis and optimization.
Weight: 412g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030898687
Edition number: 1st ed. 2022
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