Computing the steady-state probabilities of the number of customers in the system of a tandem queueing system, a Machine Learning approach

Eliran Sherzer

European Journal of Operational Research, 2025, vol. 326, issue 1, 141-156

Abstract: Tandem queueing networks are widely used to model systems where services are provided in sequential stages. In this study, we assume that each station in the tandem system operates under a general renewal process. Additionally, we assume that the arrival process for the first station is governed by a general renewal process, which implies that arrivals at subsequent stations will likely deviate from a renewal pattern.

Keywords: Tandem queues; Neural networks; Machine learning; Simulation models (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:326:y:2025:i:1:p:141-156

DOI: 10.1016/j.ejor.2025.04.040

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