The Fundamentals of Queuing System Essay Example

characteristic. It can be limited or unlimited, according to Sklenar (2007). The queue discipline refers to the organization of the queue. To learn more, visit


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Sklenar (2007) provided several queue methods, such as FIFO (First-In-First-Out), LIFO (Last-In-First-Out), SIRO (Serve in Random Order), priority queue, and others.

The common type of queue management observed in queuing systems follows the First In First Out (FIFO) discipline. The Service Mechanism pertains to the resources necessary for the initiation of service in the queue (Beasley, 2007). There are four factors to consider in the Service Mechanism, such as the service time distribution, number of servers in line, server orientation (either parallel or series), and pre-emption potential.

The assumption underlying pre-emption is that a customer with higher priority interrupts the processing of another. This is typically based on an exponential distribution for customer arrival rates. The expansion of the queue size is influenced by both service time and the level of customer traffic intensity.

The traffic intensity of a system determines the level of congestion, which is determined by dividing the arrival rate by the departure rate. As traffic intensity increases, so does queuing. Queuing systems are common in various settings such as purchasing tickets or waiting for food. These systems typically involve a single server who serves customers as they move through the queue.

Studying queues is beneficial as it saves customers time and ensures prompt service. Customers generally dislike waiting in line, so serving them properly can give a business a positive image. To study queues effectively, one must be patient and observant in order to analyze

the necessary elements. Determining the arrival, service, and departure times of customers within the system is crucial for simulating the entire process and implementing improvements in the queue.