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

In queueing: Analysis of Queueing Networks and Models

Description

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

Usage

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

## 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)

Example output

queueing documentation built on Dec. 9, 2019, 1:06 a.m.