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This theory is based on allowing randomness in the task arrivals and task execution times. The difficulty with queueing theory is that this theory does not typically allow for explicit consideration of task timing requirements.

Queuing theory is used in a variety of real-world enterprises. Its results may be used to contact centre's and data networks to speed up customer service, improve traffic flow, enhance order shipping from warehouses, and more.

1) FIFO (First In First Out) also called FCFS (First Come First Serve) - orderly queue. 2) LIFO (Last In First Out) also called LCFS (Last Come First Serve) - stack. 3) SIRO (Serve In Random Order).

Queuing theory has many applications in various fields and industries, such as health care, manufacturing, transportation, telecommunications, and service. In health care, queuing theory can help design and manage the capacity and flow of patients, staff, and resources in hospitals, clinics, or pharmacies.

The following situations are examples of how queueing theory can be applied: Waiting in line at a bank or a store. Waiting for a customer service representative to answer a call after the call has been placed on hold. Waiting for a train to come.

Real-life applications of queuing theory cover a wide range of businesses. Its findings may be used to provide faster customer service, increase traffic flow, improve order shipments from a warehouse, or design data networks and call centers.

Queuing theory is significant because it helps to describe queue characteristics such as average wait time and gives tools for queue optimization.

In general hospitals, studies on waiting times have long been conducted with a focus on doctor and patient consultations. The queueing theory will be used in this industry to cut down on staff and patient wait times. The manufacturing schedule for many medical and healthcare items can benefit from it as well.