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Unformatted text preview: to evaluate the normalizing constant.
Queueing networks
4.39. Consider a production system consisting of a machine center followed
by an inspection station. Arrivals from outside the system occur only at the
machine center and follow a Poisson process with rate . The machine center
and inspection station are each singleserver operations with rates µ1 and µ2 .
Suppose that each item independently passes inspection with probability p.
When an object fails inspection it is sent to the machine center for reworking.
Find the conditions on the parameters that are necessary for the system to have
a stationary distribution.
4.40. Consider a three station queueing network in which arrivals to servers
i = 1, 2, 3 occur at rates 3, 2, 1, while service at stations i = 1, 2, 3 occurs at
rates 4, 5, 6. Suppose that the probability of going to j when exiting i, p(i, j ) is
given by p(1, 2) = 1/3, p(1, 3) = 1/3, p(2, 3) = 2/3, and p(i, j ) = 0 otherwise.
Find the stationary distribution.
4.41. Feedforward queues....
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 Spring '10
 DURRETT
 The Land

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