APPRAISAL OF SIMULATION FOR A QUEUING SYSTEM (A CASE STUDY OF IMO STATE TRANSPORT COMPANY ITC OWERRI)
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- NGN 3000
Introduction
As the world's population grew, so did the number of lineups and their length. More clients equals more commercial transactions in the business sector. An effective queuing system is one of the numerous strategies to attract consumers since it decreases a customer's waiting time. As a consequence, the decreased wait time makes customers happy, and one thing is certain: a pleased client will return for more business. As opined by Onyekwere, Amos, Chris & Nnenna (2015), Queuing is defined as the mathematical study of wait periods or queues. They do indefinite mathematical analyses of several connected activities, such as queue arrival, queue waiting, and being serviced by servers at the head of the queue. The introduction of computer systems has brought significant changes to many sectors of human activity throughout the years. This technology has increased the speed and precision with which information is processed. With the arrival of computers into practically every aspect of life, laborious tasks may now be completed with minimal time and effort. Our modern computers may be utilized for airline reservations, transportation, and patient diagnostics, as a disability help, and to successfully provide hospital information systems.
On the other hand, Allen (2016), a computer system is defined as an electrical device that receives data as input, processes the data, and produces information as output. Its applications in simulation are not to be disregarded. Simulation is the process of experimenting with or utilizing a model and recording the outcomes. It is utilized in a technique known as computer-assisted instructions. This has resulted in computers being used on a daily basis by scientists, engineers, medical experts, and businesses, as well as in transportation, industries, science, and education. Creating a simulation is frequently a difficult mathematical task. Initially, a set of rules, relationships, and operating procedures are described, together with other factors, such as establishing the simulation's objectives and input variables. Differentiate between controlled and uncontrolled variables, etc. the interactions of these event new rules, which subsequently evolved as the simulation methods Simulation implementation spans from simple paper and pencil simulations to elaborate computer-aided interactive systems. Simulation, as a teaching approach, enables pupils to cope with critical issues in a realistic manner. Computers can be used in the simulation of a queuing system. Simulation entails portraying aspects of business that a computer may change by attempting numerous options on the simulation model. The computer can properly predict outcomes in the actual world. For example, if a simulation model for investing practices is established, numerous investment methods may be tested to see which has the best chance of success.
The term queue refers to a group of people waiting to be served and can be found in transportation, such as people waiting to purchase tickets for their journey, banks, supermarkets, hospitals, offices, and restaurants, among other places. This is an important and specific application of the queuing theory. By studying these scenarios to determine typical waiting times, arrival rates, and so on, assistance may be acquired for making decisions accessible at specific times of day to process clients faster or if extra queue spaces are required(Garry 2016).
Imo Transport Company (ITC) has multiple terminals; however, its operations are not automated. Customers are given tickets when they pay, and the work is done by hand. Their queuing system can be stimulated with the use of digital models. This will go a long way toward increasing efficiency and providing adequate client satisfaction.
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