Instructor: Jim Luedtke

Multi-stage stochastic optimization can be used to model dynamic decision-making environments in which a sequence of decisions are to be made in response to a sequence of random events. Such problems arise in many applications, such as unit commitment and economic dispatch in power systems and inventory and production management. …

We consider the problem of determining server schedules in multi-class service systems under uncertainty in the customer volumes. Common practice in such systems is to first identify server staffing levels that meet the quality of service targets, and then determine schedules for the servers that cover these staffing requirements. We …