Examples of Queuing Theory

Various real-life examples where Queuing theory is uses are:

Call Center Example: Consider a call center with a single server that receives calls according to a Poisson process with a rate of 10 calls per minute. The service time for each call follows an exponential distribution with a mean of 3 minutes. Using queuing theory, we can calculate the average number of calls waiting in the queue (Lq) and the average waiting time in the queue (Wq) as:

Lq = λ2 / (μ × (μ – λ))

= 102 / (1/3 × (1/3 – 10))

= 10 calls

Wq = Lq / λ

= 10 / 10 = 1 minute

Supermarket Checkout Example: A supermarket has two checkout counters, each with its own queue. Customers arrive according to a Poisson process with a rate of 20 customers per minute and are served in a first-come-first-served (FCFS) manner. The service time for each customer follows an exponential distribution with a mean of 2 minutes. Using queuing theory, we can calculate the average number of customers in the system (L) and the average waiting time in the queue (Wq) as:

L = (λ / μ) / (1 – (λ / (2 × μ)))

= (20 / 30) / (1 – (20 / (2 × 30)))

= 1.5 customers

Wq = L / λ – 1/μ

= 1.5 / 20 – 1/30

= 0.075 minutes

Queuing Theory

Queuing theory is a specific division of mathematics that focuses on studying waiting lines (queues) in cases where there is an excess of demand for a service as compared to the availability of the service. It gives a way of looking at and analyzing the behaviour of systems which encounter congestion as a normal occurrence: call centres, computer networks, transportation, etc.

By observing queue length, customers’ waiting time, and server utilization, queuing models can become immensely beneficial in resource management and enhancement of systems performance.

In this article, we have covered the basics of Queueing Theory.

Table of Content

  • What Is Queuing Theory?
  • How Queuing Theory Works
  • Who Invented Queuing Theory?
  • What Are Basic Elements of Queuing Theory?
  • How Do You Use Queuing Theory?
  • Examples of Queuing Theory
  • Applications of Queuing Theory

Similar Reads

What Is Queuing Theory?

Queuing theory is a branch of mathematics used to describe, analyze and predict the length of the queues and waiting time in the system. Implies the development of models for the arrival process, service process, and queue discipline of the model. These models are then quantified, and the resulting probability theory and stochastic processes are used to calculate other performance criteria including the mean number of customers the system contains, the average time that a customer spends waiting in the system and the probability of a customer to wait for service....

How Queuing Theory Works

Queuing theory works by modeling a system as a series of components:...

Who Invented Queuing Theory?

Queuing theory originated in 1909 by Danish mathematician A. K. Erlang in the year 1909 while he was working with the Copenhagen Telephone Company. Erlang investigated the congestion of incoming calls in telephone traffic, and to evaluate the probability of calls arriving at the switchboard, he established mathematical models. He also provided the much-needed initial foundation for the growth of what would later become known as queuing theory....

What Are Basic Elements of Queuing Theory?

The basic elements of queuing theory are:...

How Do You Use Queuing Theory?

To use queuing theory, you need to follow these steps:...

Examples of Queuing Theory

Various real-life examples where Queuing theory is uses are:...

Applications of Queuing Theory

Queuing theory has a wide range of applications in various fields:...

FAQs on Queuing Theory

What is Queuing Theory?...