Simulated queues in dynamic situations

Abstract

Discrete event simulation of dynamic situation of queuing systems has been carried out using the next-event simulated time procedure for the Monte Carlo and Area approaches. Simulation of the queuing system will be from the arrival and departure of customers from a local commercial bank. Using simulation of events, certain number k of cashiers attend to customers in queues. We designed a situation whereby in a month, we have three periods: most busy days from 25th to 5th, more busy days from 6th to 12th and busy days from 13th to 24th of the month. The dynamic nature of the periods will change the status of a number of random variables like the length of each queue, the time delay of each customer and the cashiers involved. The computational problem of this approach has been accommodated by making the dimensionality of the problem both in terms of the number of choices and sizes of the state space small.

Journal of the Nigerian Association of Mathematical Physics, Volume 15 (November, 2009), pp 425 - 430