Pricing in service systems with strategic customers

In this thesis, we examine the pricing decision process in service systems with strategic customers. We present three systems throughout the study. In the first system, priority classes are offered to the customers and price level for every priority class is determined to maximize profit. Two models are created and comparisons are done in order to determine how parameter values affect pricing decision and priority class choices. The second system consists of a single server and homogeneous customers but different delay information levels exist. Three information levels are examined and effects of delay information level on pricing decision and customers' behavior are inves-tigated. In the third system, there exists randomness in service valuation and waiting cost. We discuss the cost of uncertainty in service systems by regarding probabilistic parameter values.