Stochastic Benchmarking: Theory and Applications (International Series in Operations Research & Management Science, #317)

by Alireza Amirteimoori, Biresh K Sahoo, Vincent Charles, and Saber Mehdizadeh

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Book cover for Stochastic Benchmarking

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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. 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.
  • ISBN13 9783030898687
  • Publish Date 12 December 2021
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer Nature Switzerland AG
  • Edition 1st ed. 2022
  • Format Hardcover
  • Pages 145
  • Language English