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Модел на Ерланг C×M/M/1 опашка: Основният модел на опашка с един обслужващ канал×
ОбластИзследване на операциитеИзследване на операциите
СемействоRegression modelRegression model
Година на възникване19811953
СъздателAgner Krarup Erlang; CooperA. K. Erlang; David Kendall (notation)
ТипSteady-state queueing modelStochastic queueing model
Основополагащ източникCooper, R. B. (1981). Introduction to Queueing Theory (2nd ed.). North-Holland. ISBN: 978-0-444-00379-7Kendall, 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 ↗
Други названияM/M/c Queue, Multi-Server Queueing Model, Erlang Delay Formula, Erlang-C Bekleme ModeliSingle-Server Markovian Queue, Birth-Death Queue, Poisson Queue, M/M/1 Kuyruk Modeli
Свързани33
РезюмеThe Erlang C model is a steady-state queueing formula that determines the probability a customer must wait before being served in a system with c parallel servers, Poisson arrivals at rate lambda, and exponentially distributed service times. Originally developed by Danish engineer Agner Krarup Erlang in the early twentieth century for telephone exchange design, and formalized in the queueing theory literature by Cooper (1981), it remains the canonical staffing model for call centers and service operations worldwide.The M/M/1 queue is the foundational single-server queueing model in which customers arrive according to a Poisson process with rate λ, are served one at a time by a single server with exponentially distributed service times at rate μ, and wait in an infinite-capacity first-come-first-served queue. Formalized within the Kendall notation framework by David Kendall in 1953, building on A. K. Erlang's early twentieth-century telephone traffic work, it yields closed-form steady-state performance measures when the traffic intensity ρ = λ/μ is less than one.
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ScholarGateСравнение на методи: Erlang C Model · M/M/1 Queue. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare