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In this paper we consider a like-queue production system in which server startup and breakdowns are possible. The server is turned on (i.e. begins startup) when units are accumulated in the system and off when the system is empty. We model this system by an M/M/1 queue with server breakdowns and startup time under the policy. The arrival rate varies according to the server’s status: off, startup, busy, or breakdown. While the server is working, he is subject to breakdowns according to a Poisson...
In this paper we consider a like-queue production system in which server startup
and breakdowns are possible. The server is turned on ( begins startup)
when units are accumulated in the system and off when the system is empty.
We model this system by an M/M/1 queue with
server breakdowns and startup time under the policy. The arrival rate varies according to the server's status:
off, startup, busy, or breakdown.
While the server is working, he is subject to
breakdowns according to a Poisson process....
This paper considers an M/M/R/N queue with heterogeneous servers in which customers balk (do not enter) with a constant probability . We develop the maximum likelihood estimates of the parameters for the M/M/R/N queue with balking and heterogeneous servers. This is a generalization of the M/M/2 queue with heterogeneous servers (without balking), and the M/M/2/N queue with balking and heterogeneous servers in the literature. We also develop the confidence interval formula for the parameter , the...
This paper considers an M/M/R/N queue with heterogeneous
servers in which customers balk (do not enter) with a constant
probability (1 - . We develop the maximum likelihood
estimates of the parameters for the M/M/R/N queue with balking and
heterogeneous servers. This is a generalization of the M/M/2
queue with heterogeneous servers (without balking), and the
M/M/2/N queue with balking and heterogeneous servers in the
literature. We also develop the confidence interval formula for
the parameter...
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