Data Envelopment Analysis Dea Methods for Maximizing Efficiency

ISBN 13: 9798369302552

Edité par Business Science Reference, 2023

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N° de réf. du vendeur ria9798369302552_new

Détails bibliographiques

• Titre: Data Envelopment Analysis Dea Methods for Maximizing Efficiency
• Éditeur: Business Science Reference
• Date de parution: 2023
• Langue: anglais
• ISBN à 13 chiffres: 9798369302552
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.

À propos de l?auteur

Narasimha Rao Vajjhala is working as an Associate Professor at the Faculty of Engineering and Architecture at the University of New York Tirana, Albania. He is a senior member of ACM and IEEE. He is the Editor-in-Chief of the International Journal of Risk and Contingency Management (IJRCM). He is also a member of the Risk Management Society (RIMS), and the Project Management Institute (PMI). He has over 20 years of experience teaching programming and database-related courses at both graduate and undergraduate levels in Europe and Africa. He has also worked as a consultant in technology firms in Europe and has experience participating in EU-funded projects. He has supervised several undergraduate senior design projects and graduate theses. He has completed a Doctorate in Information Systems and Technology (United States); holds a Master of Science in Computer Science and Applications (India), and a Master of Business Administration with a specialization in Information Systems (Switzerland), and an undergraduate degree in Computer Science (India).