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Fundamentals of Queuing Systems

Statistical Methods for Analyzing Queuing Models

  • Nick T. Thomopoulos

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Nick T. Thomopoulos
    Pages 1-8
  3. Nick T. Thomopoulos
    Pages 9-18
  4. Nick T. Thomopoulos
    Pages 19-25
  5. Nick T. Thomopoulos
    Pages 27-33
  6. Nick T. Thomopoulos
    Pages 35-40
  7. Nick T. Thomopoulos
    Pages 41-48
  8. Nick T. Thomopoulos
    Pages 49-56
  9. Nick T. Thomopoulos
    Pages 57-63
  10. Nick T. Thomopoulos
    Pages 65-71
  11. Nick T. Thomopoulos
    Pages 79-84
  12. Nick T. Thomopoulos
    Pages 85-91
  13. Nick T. Thomopoulos
    Pages 93-96
  14. Nick T. Thomopoulos
    Pages 97-101
  15. Nick T. Thomopoulos
    Pages 103-107
  16. Nick T. Thomopoulos
    Pages 109-113
  17. Nick T. Thomopoulos
    Pages 115-121
  18. Nick T. Thomopoulos
    Pages 123-127
  19. Nick T. Thomopoulos
    Pages 129-138
  20. Nick T. Thomopoulos
    Pages 139-146
  21. Nick T. Thomopoulos
    Pages 147-154
  22. Nick T. Thomopoulos
    Pages 155-158
  23. Nick T. Thomopoulos
    Pages 159-162
  24. Back Matter
    Pages 163-182

About this book

Introduction

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.   

Keywords

Arrival Times Industrial Engineering Management Science Poisson Distributions Queuing Systems Reusable Inventory

Authors and affiliations

  • Nick T. Thomopoulos
    • 1
  1. 1., Stuart School of BusinessIllinois Institute of TechnologyBurr RidgeUSA

Bibliographic information