Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico

Idalia Flores De La Mota (), Alexander Vindel Garduño () and Esther Segura Pérez ()
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Idalia Flores De La Mota: Universidad Nacional Autónoma de México, Facultad de Ingeniería
Alexander Vindel Garduño: Universidad Nacional Autónoma de México, Facultad de Ingeniería
Esther Segura Pérez: Universidad Nacional Autónoma de México, Instituto de Ingeniería

A chapter in Applied Simulation and Optimization, 2015, pp 233-276 from Springer

Abstract: Abstract This chapter presents two operational research techniques, simulation and integer programming, that we used to find a better ambulance location solution and shorten ambulance response time in the main campus, (Ciudad Universitaria) of the Universidad Nacional Autónoma de México, México City. Toregas’ integer programming model, known as the maximal covering model, is best suited for an approach to the needs of the problem; despite its age, it has proven to be a simple and efficient model. For this job, we not only employed the location model, but also linked it to a simulation model whose function was to identify the stochastic demand and analyze the results of the model so as to find the best possible solution, within the limits set when creating different scenarios; and, at the same time shorten the response time.

Keywords: Location Problem; Location Model; Ambulance Service; Stochastic Demand; Emergency Medical Service System (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-15033-8_8

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DOI: 10.1007/978-3-319-15033-8_8

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