  We analyze a tandem network of polling queues with two product types and two
stations. We assume that external arrivals to the network follow a Poisson
process, and service times at each station are exponentially distributed. For
this system, we determine the mean conditional waiting time for an arriving
customer using a sample path analysis approach. The approach classifies system
state upon arrival into scenarios and exploits an inherent structure in the
sequence of events that occur till the customer departs to obtain conditional
waiting time estimates. We conduct numerical studies to show both the accuracy
of our conditional waiting time estimates and their practical importance.
