방법 증거 기록

Stochastic Queueing Simulation

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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원본 기록

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Stochastic Queueing Simulation — Probabilistic Modeling of Waiting-Line Systems

분류학적 방법 기록 · process-pipeline / simulation

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
Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. · ISBN 9780073401324

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Same method familyDiscrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMarkov Modelmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQueueing Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Discrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Markov Modelmachine-suggested · Relational suggestion, not evidence.