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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
Simulation is a powerful and useful tool for designing and evaluating the performance of queuing systems. Typical measurement of system performance
including server utilization of time of a server is busy, length of waiting line, client in the waiting lines, and delays of the customer. There are two aspects of
consideration when attempting to improve a simulation which is analyst trading offs between server utilization and customer satisfaction in terms of line lengths and
delay. In a high competency era, most of the sector is facing the challenge of quickly designing and implementing complex production and service system that are capable
of meeting the growing demands for quality, delivery, affordability and service. With recent advances in computing and software technology, simulation is a powerful
Queue Service
Mechanism Input
Source Customers
Served Customers
Queuing System
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tools and technology for systems study and improvement. Simulation is an animation of the system study by imitating actual system characteristic that exhibit event which
takes place over time.
Application of simulation is very vast. Simulation is being used to study systems in the design stage, before such systems are built. Simulation modeling consist two
main usage which act as an analysis tool for predicting the effect of changes to existing systems and as a design tool to predict the performance of new systems
under varying sets of circumstances. In some Instances, a model can be developed which is simple enough to be “tackle” by mathematical methods or other mathematic
techniques. The solution usually consist one or more numerical parameters which are called measures of performance of the system. It is because of Simulation is capable
predict the performance accurately so it is being widely applied in manufacturing industries, wafer fabrication, construction engineering project management,
business processing, military, logistics, hospital or health system, transportation distribution, and etc.
1.3 Polyclinic Community Ayer Keroh
