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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.
96 LOVELY PROFESSIONAL UNIVERSITY