Department of Industrial Engineering2024-11-0920090257-013010.1007/s11134-009-9109-x2-s2.0-67349161309http://dx.doi.org/10.1007/s11134-009-9109-xhttps://hdl.handle.net/20.500.14288/8998This paper studies a class of queueing control problems involving commonly used control mechanisms such as admission control and pricing. It is well established that in a number of these problems, there is an optimal policy that can be described by a few parameters. From a design point of view, it is useful to understand how such an optimal policy varies with changes in system parameters. We present a general framework to investigate the policy implications of the changes in system parameters by using event-based dynamic programming. In this framework, the control model is represented by a number of common operators, and the effect of system parameters on the structured optimal policy is analyzed for each individual operator. Whenever a queueing control problem can be modeled by these operators, the effects of system parameters on the optimal policy follow from this analysis.Computer scienceOperations researchManagement scienceJournal Article1572-9443265537900002Q46093