Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution

Tandem queuing model is useful for analyzing the situations arising at banks, temples, hospitals, cargo handling, etc. However, in several communication networks, the output of one service station is an input to the other service station. That is, the service stations (transmitters) are connected in tandem. Tandem queuing models provide the basic framework for designing and monitoring of several communication systems. In this paper, it is considered and studied the two-node tandem queuing model (TNTQM) with nonhomogeneous compound Poisson bulk arrivals has studied using Intervention Poisson distribution (IPD). By applying sensitivity analysis, the system performance measures are highly influenced by non-homogenous bulk arrivals rate and batch size distribution parameters. Simulation studies showed that the intervened parameter in increasing the service rate in terms of utility, mean number of customer who undertakes service and emptiness pattern in the queue.