The type of queuing system a business uses is an important factor in determining 
how efficient the business is run. In this project, we examine two types of queuing 
systems: the single-channel and the multiple-channels queues which are commonly seen 
in banks and fast food restaurants respectively. We use computer programs to simulate 
the queues and predict the queue length, waiting time and wait probability. The input to 
the simulation program is based on the statistics collected over a span of a week. The 
discrete–event simulation approach is used to model the queuing systems and to analyze 
the side effects when one system is changed to the other.