We analytically study optimal capacity and flexible technology selection in parallel queuing systems. We consider N stochastic arrival streams that may wait in N queues before being processed by one of many resources (technologies) that differ in their flexibility. A resource's ability to...

The traditional operations management and queueing literature typically assume that customers are fully rational. In contrast, in this paper, we study canonical service models with boundedly rational customers.We capture bounded rationality using a model in which customers are incapable of...

Consider the following due-date scheduling problem in a multiclass, acyclic, single-station service system: any class k job arriving at time t must be served by its due date t D_{k}. Equivalently, its delay ¦Ó_{k} must not exceed a given delay or lead-time D_{k}. In a stochastic system the...

We study how multi-product queueing systems should be controlled so that sojourn times (or end-to-end delays) do not exceed specified leadtimes. The network dynamically decides when to admit new arrivals and how to sequence the jobs in the system. To analyze this difficult problem, we propose an...