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CHAPTER 1
INTRODUCTION
1.1 Background
Queuing is a daily practices in human life. Queue existence usually when peoples wait to get services provided from the server. There are several characteristic or
types of queue, which is in virtual or physical form. Virtual queuing is usually providing a waiting area or room with seat, whereby the person in queue is required
to remember his place in the queue system, or take a ticket with a number from a machine. These types of queue typically are found at hospital, government
department and etc. A queue may long or short. A long waiting queue is a wastages and non-value-added phenomenon. Therefore, many researches are interested in
queue behavior study to overcome or minimize this unpleasant circumstance. One of the ways to understand the queue behavior is via queue model.
A simple queuing model consist 3 main related fields which are population of potential customer, waiting line customer and server. The waiting line of customers
where are came from a calling potential population of potential customers being entertained or served by server. In a simple expression, customers from time to time
and join in a queue, are eventually served and finally leave the system. The term of customers refers to any type of entity that can be viewed as requesting service from a
system. Therefore, many service facilities, production system, repair and maintenance facilities, communication and computer systems and transport and
material-handling system can be view as queuing systems. In the queuing system it may congested with the buffer of material or waiting customer in restaurant at the
bottleneck area or at the counters.
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There are several approaches to solve or ease queuing system which is in terms of mathematically or simulation model. In illustrating the queuing system behavior by
using queuing model, there is several criteria need to take consideration before implement it. The consisting criteria are input sources, type of queue, queue
discipline practice in the system, service mechanism, service time, system capacity and the queuing terminology notation. Once these criteria are obtained, long run
measure performance of queuing systems could be carried out by using the formulae. The relation of the system like time-average number in system L, average time
spent in system per customer w, and server utilization ρ could be revealed. Figure 1.1 shows the illustration of basic queuing process.
Figure 1.1The Basic Queuing Process
1.2 Simulation
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