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Simulation and Modelling                                           Nisha Sethi, Lovely Professional University



                      Notes                    Unit 7: Simulation of Queuing System (I)



                                       CONTENTS
                                       Objectives

                                       Introduction
                                       7.1  Simulation of Queuing System
                                           7.1.1 Single-channel Queuing System

                                           7.1.2 Multiple-channels Queuing System
                                       7.2  Rudiments of Queuing Theory

                                       7.3  Computer Simulation for Queuing System
                                       7.4  Summary
                                       7.5  Keywords

                                       7.6  Self Assessment
                                       7.7  Review Questions

                                       7.8  Further Readings



                                    Objectives

                                    After studying this unit, you will be able to:
                                        Understand simulation of queuing system

                                        Discuss rudiments of queuing theory

                                    Introduction

                                    The type of queuing system a business uses is an important factor in determining how efficient
                                    the business is run. In this project, we examine two types of queuing systems: the single-channel
                                    and the multiple-channels queues which are commonly seen in banks and fast food restaurants
                                    respectively. We use computer programs to simulate the queues and predict the queue length,
                                    waiting time and wait probability. The input to the simulation program is based on the statistics
                                    collected over a span of a week. The discrete–event simulation approach is used to model the
                                    queuing systems and to analyze the side effects when one system is changed to the other.
                                    As the size of the world’s population increases so do the number of queues and their queue
                                    length. In the  business world, more customers  mean more  business transactions. Out of the
                                    many ways to attract  customers, an  efficient queuing  system plays  an important  role as  it
                                    reduces a customer’s waiting time. As a result, the shorter waiting time makes customers happy,
                                    and one thing for sure is that a happy customer will come back for business again.
                                    This unit begins with a description of the single-channel and multiple-channels queuing systems
                                    and their influence on a customer’s waiting time and wait probability. We use discrete-event
                                    simulation program to verify the live data, and predict the performance if the configuration of
                                    the existing queue is changed.




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