We consider a bipartite queueing system (BQS) with multiple types of servers and customers, where different customer-server combinations may generate different utilities. Whenever a server is available, it serves the customer with the highest index, which is the sum of a customer's waiting index...

Many stochastic systems have arrival processes that exhibit clustering behavior. In these systems, arriving entities influence additional arrivals to occur through self-excitation of the arrival process. In this paper, we analyze an infinite server queueing system in which the arrivals are...

This work is motivated by the common practice of add-on pricing, where an add-on is not valuable unless purchased together with the main service. For example, many restaurants serve free bread or complimentary drinks (add-on) while diners are waiting for their entrees (main service) to be...

ObjectivesThe objective was to derive and validate a novel queuing theory–based model that predicts the effect of various patient crowding scenarios on patient left without being seen (LWBS) rates.MethodsRetrospective data were collected from all patient presentations to triage at an urban,...

We study capacity competition in a service environment where the arrival rates are highly seasonal (e.g., lunch time rushes) and customers are time sensitive, so may depart without receiving service if the waiting time is too long. As a stepping stone for the competitive model, we begin by...