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

Amirteimoori, Alireza; Sahoo, Biresh K.; Charles, Vincent; Mehdizadeh, Saber

ISBN 10: 3030898687 / ISBN 13: 9783030898687

Editore: Springer, 2021

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Dati bibliografici

• Titolo: Stochastic Benchmarking: Theory and Applications (International Series in Operations Research & Management Science, 317)
• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030898687
• ISBN 13: 9783030898687
• Rilegatura: Rilegato
• Condizione: New

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Riassunto

<p>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.&nbsp;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.&nbsp;The models introduced here can be easily used in both theoretical and real-world evaluations.</p>This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.

Informazioni sull?autore

<p><b>Alireza Amirteimoori</b> is a professor in the Applied Mathematics and Operations Research Group at Islamic Azad University, Iran. His research interests lie in the broad area of performance management with special emphasis on quantitative methods for performance measurement, and especially those based on the broad set of methods known as data envelopment analysis (DEA).</p><p><b>Biresh K. Sahoo</b> is a&nbsp;professor of economics&nbsp;at Xavier Institute of Management, XIM University, Bhubaneswar, India, and an&nbsp;associate editor&nbsp;of <i>Omega: The International Journal of Management Science</i>. He specializes in applied production frontier analysis, and his research interests are in the areas of efficiency and productivity performance of firms and the economics of benchmarking.</p><p><b>Vincent Charles</b> is an experienced researcher in the field of artificial intelligence and management science, currently with the School of Management, University of Bradford, UK. He has more than two decades of teaching, research, and consultancy experience, having been a full professor and director of research for more than a decade. He has published over 130 research outputs and is the recipient of many international academic honors and awards.</p><b>Saber Mehdizade</b> is a lecturer in mathematics at Imam Ali University, Iran. He received his PhD in applied mathematics and operations research from Islamic Azad University of Rasht, Iran.