MODELING AND ANALYZING A COMPLEX FEEDBACK QUEUE NETWORK MODEL WITH PRIORITY HAVING BI-TANDEM AND PARALLEL SERVERS IN STOCHASTIC ENVIRONMENT
Résumé
The current study examines a complex queueing network model having three parallel subsystems.
The first subsystem comprises of biserial service channels, while the second involves parallel service channels,
which are linked in series with a third common subsystem. A distinctive feature of this model is the possibility
of customer feedback, allowing customers to re-enter the system after service, based on a defined transition
probability tied to their satisfaction. The system prioritizes the first and second subsystems, with customer
arrivals occurring independently at the other subsystems. Both arrival and service processes are modeled
using poisson distributions. The steady-state behavior is analyzed through differential difference equations
utilizing generating function techniques. This paper investigate the impact of feedback-priority mechanism on
the system’s performance and a parametric analysis is conducted to further explore the model’s applicability
in real-world situations. The results, are presented both numerically and graphically, effectively validating the
model’s behavior under different settings.
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