Application of Stochastic Models to Queueing and Service Systems

Mathematics — 2025, Undergraduate

This study applied stochastic models to the analysis of queueing and service systems. Arrival and service data from a selected service point were fitted to standard queueing models, and performance measures such as waiting time and queue length were derived. The findings revealed that model-derived measures closely matched observed behaviour, while variation arose from time-of-day effects. The study observed that capacity changes influenced queue performance systematically. It recommends queueing models for planning and capacity decisions.

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