Urgent Care Center Problem

dc.contributorArboleda Uribe Sara
dc.contributorCardona Ramírez Juan Felipe
dc.contributorMery Agudelo Mauricio
dc.contributorSuárez Gómez Silvia Natalia
dc.contributorValencia Valencia Maria José
dc.contributorPineda Serna Carolina
dc.contributorÁlvarez Zuluaga Andrea
dc.contributorMejía Ángel Susana
dc.contributorMolina Tobón Isabela
dc.contributorRendón Restrepo Sara
dc.contributorRivas Contreras Gabriela
dc.creatorSánchez Velásquez, Jaime Alberto
dc.date.accessioned2022-06-24T15:02:52Z
dc.date.accessioned2022-09-29T14:53:24Z
dc.date.available2022-06-24T15:02:52Z
dc.date.available2022-09-29T14:53:24Z
dc.date.created2022-06-24T15:02:52Z
dc.identifierhttps://repository.eia.edu.co/handle/11190/5250
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3778524
dc.description.abstractThis problem is available at https://www.simio.com/academics/student-competition/problem-archive.php with the title "Urgent Care Center Problem (December 2015)", and with the following description: "This problem models an urgent care center that wants to determine the best general layout, staffing, room allocation, and other operating methodologies. The center would also like to evaluate how increasing patient incentives to pre-schedule for exams and other minor sicknesses could potentially reduce the staffing required. The same model will optimize centers in many cities, so the simulation model must be data driven". In the attached file you will find Simio Simulation Model made by the students of the research group. data driven simulation, discrete-event simulation, urgent care, optimization
dc.titleUrgent Care Center Problem
dc.typeReporte
dc.typeSimulación


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