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

Description Usage Arguments Details References See Also Examples

Description

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

Usage

1
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. Put n=0 for a idle probability. 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

1
2
3
## 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)


Search within the queueing package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.