To use an M/M/I queuing model, we must assume Poisson arrivals and exponential service distribution. Then, to derive characteristics for this types of waiting line, we must consider some other assumptions. Most importantly, there must be only one service channel, which arrivals enter one at a time. 2. Queue: It is characterized by the maximum permissible number of units that it can contain. Queues may be infinite or finite. 3. Service Discipline: It refers to the order in which members of the queue are selected for service. Frequently, the discipline is first come, first served.

As discussed at several places earlier, queuing models have several limitations and are Used in conjunction with the other decision analysis methods like simulation and regression. Most of these limitations are the basic assumptions for application of queuing models. Some of the limitations of queuing models are enumerated below: May 24, 2018 · These models are typically important in business and software applications, and queueing theory is often considered a part of operations research. About Queuing Any queuing activity can be summarized as entities (customers in your supermarket queue, or jobs in a computer queue) trying to get through an activity (waiting to be served).