A systems analysis and model of a parallel multi-server queueing system

A feasible set of management policies to handle multitandem queuing systems characterized by stochastic demand is presented. This type of system is common in many service related organizations. The research used a previously developed simulation model of a State of Florida driver licensing office to manipulate policy variables in an effort to provide options for increased system efficiency. A key consideration is the ability to balance customer waiting time against ideal server time. The use of simulation analysis enables the modeler to incorporate complex characteristics of this type of system into the model, therefore providing a realistic representation of possible management actions. Dramatic results produced by the moving server models indicate that this method may provide the most efficient pairing of server resources with customer demand