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SUMMARY:Extensions of the hypercube queuing model to analyze emergency ser
 vices systems inspired by practical applications
DTSTART:20181026T121500
DTEND:20181026T130000
DTSTAMP:20260506T205424Z
UID:f7812ce506dfed251b8c8450ca58aca7ef41740d4d6ae6d38a05a795
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Ana Paula Iannoni\, Ecole Centrale Paris\nEmergency Servic
 e Systems (ESS)\, such as police\, fire\, and emergency medical services\,
  have been modeled and studied since long ago. Hypercube queuing models ha
 ve 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 hypercub
 e model allowing the relaxing of some of its limiting assumptions to be ap
 plied to real emergency services. Some of these extensions\, that were ins
 pired by practical applications\, are: partial backup\, multiple dispatchi
 ng\, distinct units and classes of calls\, multiple priority classes in qu
 eue and cut-off policy. Recently\, we have studied an approximation of hyp
 ercube model to study large merging ESS such as fire control and emergency
  medical services that work together with cross-trained personnel and shar
 e some of their units (called joint units).  In this presentation\, I pro
 pose to talk about this recent study that is a collaboration with Arthur S
 wersey and Cheng Hua from Yale University\, New Haven.\n\nBio:\nAna Paula 
 Iannoni has a diploma in production engineering at Federal University of S
 ao Carlos\, Sao Paulo\, Brazil. She received her B. S. and Ph. D. in produ
 ction 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 Depart
 ment\, Federal University of Sao Carlos. She is a former post-doc research
 er at Laboratoire Genie Industriel\, Ecole Centrale Paris\, France. Her re
 search interests lie in queuing theory\, simulation and probabilistic loca
 tion problems applied to emergency systems\, and operations research appli
 ed to logistics and transportation systems.
LOCATION:GC B1 10 https://plan.epfl.ch/?room=GCB110
STATUS:CONFIRMED
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