Fundamentals of Queuing Systems
Statistical Methods for Analyzing Queuing Models
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Beschreibung
Waiting in lines is a staple of everyday human life. Without really noticing, we are doing it when we go to buy a ticket at a movie theater, stop at a bank to make an account withdrawal, or proceed to checkout a purchase from one of our favorite department stores. Oftentimes, waiting lines are due to overcrowded, overfilling, or congestion; any time there is more customer demand for a service than can be provided, a waiting line forms. Queuing systems is a term used to describe the methods and techniques most ideal for measuring the probability and statistics of a wide variety of waiting line models. This book provides an introduction to basic queuing systems, such as M/M/1 and its variants, as well as newer concepts like systems with priorities, networks of queues, and general service policies. Numerical examples are presented to guide readers into thinking about practical real-world applications, and students and researchers will be able to apply the methods learned to designing queuing systems that extend beyond the classroom. Very little has been published in the area of queuing systems, and this volume will appeal to graduate-level students, researchers, and practitioners in the areas of management science, applied mathematics, engineering, computer science, and statistics.
Waiting in lines is a staple of everyday human life. Without really noticing, we are doing it when we go to buy a ticket at a movie theater, stop at a bank to make an account withdrawal, or proceed to checkout a purchase from one of our favorite department stores. Oftentimes, waiting lines are due to overcrowded, overfilling, or congestion; any time there is more customer demand for a service than can be provided, a waiting line forms. Queuing systems is a term used to describe the methods and techniques most ideal for measuring the probability and statistics of a wide variety of waiting line models. This book provides an introduction to basic queuing systems, such as M/M/1 and its variants, as well as newer concepts like systems with priorities, networks of queues, and general service policies. Numerical examples are presented to guide readers into thinking about practical real-world applications, and students and researchers will be able to apply the methods learned to designing queuing systems that extend beyond the classroom. Very little has been published in the area of queuing systems, and this volume will appeal to graduate-level students, researchers, and practitioners in the areas of management science, applied mathematics, engineering, computer science, and statistics.
Provides timeless methods for measuring statistics and probabilities in a vast range of queuing systems Presents information that is critical for professionals, researchers, and students in management science Features a tested format without difficult mathematical formulas or equations Each of the 23 chapters includes useful examples, problems and solutions Includes supplementary material: sn.pub/extras
Autor*in
Nick T. Thomopoulos
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From the reviews:
“Fundamentals of Queuing Systems: Statistical Methods for Analyzing Queuing Models is a queuing theory book with practitioners as its target audience. … the consideration of a number of special cases permits the author to provide tailored solutions to specific problems, an ideal situation for the reader who is looking for some formulae for those problems. … Many real-world numerical examples are scattered throughout the book to provide the reader with opportunities to see how the formulae work.” (David Hodge, Interfaces, Vol. 43 (6), November-December, 2013)()