방법 비교

	대기행렬 시뮬레이션	확률적 대기열 시뮬레이션
분야	시뮬레이션	시뮬레이션
계열	Process / pipeline	Process / pipeline
기원 연도	1909	1953
창시자	Agner Krarup Erlang	Kendall, D. G.
유형	Stochastic simulation / analytical modeling	Stochastic simulation — waiting-line system analysis
원전	Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101	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.
별칭	Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue	SQS, Probabilistic Queueing Simulation, Stochastic Queue Modeling, Random Queueing Simulation
관련	6	6
요약	Queueing Simulation combines classical queueing theory with discrete-event simulation to model systems where entities arrive, wait for service, and depart. It predicts performance metrics such as average waiting time, queue length, and server utilization, enabling capacity planning and bottleneck identification across service, manufacturing, healthcare, and network 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.