Information about delays can enhance service quality in many industries. Delay information can take many forms, with different degrees of precision. Different levels of information have different effects on customers and therefore on the overall system. To explore these effects, we consider a...

The following example illustrates the problem treated in this paper: Two gas stations are located one after the other on a main road. A driver who needs to fill his rank sees the queue situation at the first station but not at the second one. The driver estimates the expected waiting time at the...

Queueing systems with scheduled arrivals, i.e., appointment systems, are typical for frontal service systems, e.g., health clinics. An aspect of customer behavior that influences the overall efficiency of such systems is the phenomenon of no-shows. The consequences of no-shows cannot be...