Comparative Analysis of Queueing Model and Artificial Natural Networks for OPD Patients

Abstract

In this paper, we examined multi-server under FCFS pattern using ANN with Poisson arrivals and Erlang service time. The object of this article is to reduce the waiting time of OPD (Outpatient Department) patients.  We have computed several performance metrics for the system and patients.  These metrics include the expected total service time, the anticipated count of phases in the system and the queue, the projected waiting time within the queue and across the server system, as well as the total number of patients within the system. We have used multilayer feed forward network along with supervised training methodology to analyze better outcome of the proposed article. These calculations were performed within the context of multi-server setups by varying various stages. Numerical example demonstrations the superior efficiency and effectiveness of the latter compared to the former.