NewInput.MMC: Define the inputs of a new M/M/c queueing model

Description Usage Arguments Details References See Also Examples

View source: R/MMC.R

Description

Define the inputs of a new M/M/c queueing model

Usage

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NewInput.MMC(lambda=0, mu=0, c=1, n=0, method=0)

Arguments

lambda

arrival rate

mu

server service rate

c

number of servers

n

number of customers in the system from which you want to obtain its probabilities. Put n=0 for a idle probability (no customer present in the system or system idle). With n=-1, no probabilities are computed

method

method of computation of the probabilities of n number of customers in the system. With method=0, the exact results are calculated using the formal definition. With method=1, aproximate results are calculated using Stirling aproximation of factorials and logaritms.

Details

Define the inputs of a new M/M/c queueing model

References

[Sixto2004] Sixto Rios Insua, Alfonso Mateos Caballero, M Concepcion Bielza Lozoya, Antonio Jimenez Martin (2004).
Investigacion Operativa. Modelos deterministicos y estocasticos.
Editorial Centro de Estudios Ramon Areces.

See Also

CheckInput.i_MMC

Examples

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## See example 10.9 in reference [Sixto2004] for more details.
## create input parameters
i_mmc <- NewInput.MMC(lambda=5, mu=10, c=2, n=0, method=0)

queueing documentation built on Nov. 17, 2017, 8:11 a.m.