Fundamentals of Queueing-Game Models. Questo articolo non è disponibile.Fundamentals of Queueing-Game Models

This book provides an in-depth study of queueing game models, involving interdisciplinary fields such as queueing theory, game theory, optimization theory, statistics, and economics. Studies on queueing-game models have attracted scientists and engineers from various disciplines, and these studies have potential applications to various management issues arising from service science, management science, marketing science, transportation science, operations research, finance and economics, which are concerned with behavioral studies of customers, service providers, administration agencies, and other human beings. These studies focus on characterizing and analyzing the essential features of endogenous noncooperative and cooperative games between different roles in different settings of service systems. Pursuing a holistic approach, the book establishes a fundamental framework for queueing-game models, while emphasizing the importance of integrated analysis and the significant influence of queueing games in the design and optimization of diverse service systems. 

The book is intended for undergraduate and graduate students as well as researchers who are interested in queueing-game models and their applications in practice.

Dr. Jinting Wang received his B.Sc. degree from Hebei Normal University, Shijiazhuang, China, in 1994, the M.Sc. degree from Hebei University of Technology, Tianjin, China, in 1997, and the Ph.D. degree from the Chinese Academy of Sciences, Beijing, China, in 2000. He is a distinguished Professor at the School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China. His research interests include issues related to stochastic operations research, especially in queueing theory, reliability and the applications of game theory and queueing theory in operations management, supply chain management, healthcare systems, wireless communication and networking, etc.