Applications of Queuing Theory
Queuing theory has a wide range of applications in various fields:
- Call centers: For example, queuing models are applied to determine the optimal number of staff, likely waits for patients and ways to enhance customer satisfaction.
- Computer systems: It has its application in the study of the performance of computer networks, CPU scheduling, and memory management.
- Manufacturing: Through queuing models, one can optimize schedule production, reduce WIP (work in progress) and increase throughput.
- Transportation: It helps to analyze the traffic density, make efficient the flow of people in the airport and design the public transportation system.
- Healthcare: It is noteworthy that queuing models are employed to optimize patient flow, schedule appointments, as well as allocate facilities and manage hospital resources.
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