Selected Examples |
In many situations, the rate of service depends on the
type of service being performed.
For example, the time it takes for a teller to service
a customer in a bank depends on the type of service
requested.
State-dependent service distributions are modeled similarly
to the Markov-modulated Poisson arrivals.
Consider the example shown in Figure 10.13,
in which there are multiple
classes of transactions to a single queue.
Figure 10.13: State Dependent Service
Figure 10.13 shows this model with the addition of a
Modifier to set the exponential mean service time.
When the transaction leaves the queue to begin
service, it passes through a Trigger that
sets the parameter for the service time
as a function of the class of transaction that is to
receive the service.
In addition to the parameter,
other models can change the shape of the service distribution.
Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.