Artificial Neural Network Approach in Design of Queueing Models

Abstract

Queues are encountered in many different fields in day-to-day life. Waiting in queue for service is unpleasant and annoying for the customer. Many researchers developed advanced queueing models to minimise the waiting time of customers in the line. But it is not easy to forecast the waiting time of a customer in an advanced queueing system as it involves more complexity. Artificial neural networks can be applied to simulate the queueing system so that the difficulties encountered by using the classical approach can be overcome. In this chapter, trained neural network is used for predicting the waiting time of each customer. Also, an attempt has been made to provide sufficient information about the work done on queues using machine learning, and an ANN model is developed in order to simulate M/M/S queueing model.