Process / pipelineSimulation / optimization

Stochastic Queueing Simulation — Probabilistic Modeling of Waiting-Line Systems

Stochastic Queueing Simulation models waiting-line systems where arrival and service processes follow probability distributions rather than fixed rates. By simulating thousands of random events, it estimates performance measures — mean waiting time, queue length, server utilization — under realistic uncertainty, making it the standard tool for designing and evaluating service systems from hospitals to call centers.

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Sources

  1. Kendall, D. G. (1953). Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain. The Annals of Mathematical Statistics, 24(3), 338–354. DOI: 10.1214/aoms/1177728975
  2. Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. ISBN: 9780073401324

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Referenced by

ScholarGateStochastic Queueing Simulation (Stochastic Queueing Simulation — Probabilistic Modeling of Waiting-Line Systems). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/stochastic-queueing-simulation