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The queuing models often assume infinite numbers of customers, infinite queue
capacity, or no bounds on inter-arrival or service times, when it is quite
apparent that these bounds must exist in reality.
Often, although the bounds do exist, they can be safely ignored because the
differences between the real-world and theory is not statistically significant,
as the probability that such boundary situations might occur is remote compared
to the expected normal situation.
Furthermore, several studies show the robustness of queuing models outside
their assumptions.
In other cases the theoretical solution may either prove intractable or
insufficiently informative to be useful.
Alternative means of analysis have thus been devised in order to provide some
insight into problems that do not fall under the scope of queuing theory,
although they are often scenario-specific because they generally consist of
computer simulations or analysis of experimental data.
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