Extensions of the hypercube queuing model to analyze emergency services systems inspired by practical applications

Emergency Service Systems (ESS), such as police, fire, and emergency medical services, have been modeled and studied since long ago. Hypercube queuing models have been proposed and applied to analyze such systems with users in queues and servers spatially distributed over a region. The work of our research group in this area has been oriented to extensions of the classic hypercube model allowing the relaxing of some of its limiting assumptions to be applied to real emergency services. Some of these extensions, that were inspired by practical applications, are: partial backup, multiple dispatching, distinct units and classes of calls, multiple priority classes in queue and cut-off policy. Recently, we have studied an approximation of hypercube model to study large merging ESS such as fire control and emergency medical services that work together with cross-trained personnel and share some of their units (called joint units).  In this presentation, I propose to talk about this recent study that is a collaboration with Arthur Swersey and Cheng Hua from Yale University, New Haven.

Bio:
Ana Paula Iannoni has a diploma in production engineering at Federal University of Sao Carlos, Sao Paulo, Brazil. She received her B. S. and Ph. D. in production engineering from Federal University of Sao Carlos. Dr. Iannoni was a visiting Ph.D. student at Belk College of Business, University of North Carolina at Charlotte and held a post-doc at Production Engineering Department, Federal University of Sao Carlos. She is a former post-doc researcher at Laboratoire Genie Industriel, Ecole Centrale Paris, France. Her research interests lie in queuing theory, simulation and probabilistic location problems applied to emergency systems, and operations research applied to logistics and transportation systems.