A Robust Model for the Bases Location and Ambulances Allocation Problem

Authors

  • Raina Ribeiro Marques Instituto de Matemática e Tecnologia, Universidade Federal de Goiás, Regional Catalão
  • Thiago Alves de Queiroz Instituto de Matemática e Tecnologia, Universidade Federal de Goiás, Regional Catalão
  • Romes Antonio Instituto de Matemática e Tecnologia, Universidade Federal de Goiás, Regional Catalão

Keywords:

Health information management, optimization, uncertainty

Abstract

The time an ambulance is in service is a parameter influenced by the nature of the emergency, traffic conditions, distance to the emergency, immediate availability of ambulances, among others. In this work, a robust model is developed for the problem of locating bases and allocating of ambulances in a fire department. The time of an emergency, which begins when a phone call is received and ends with the arrival of the ambulance at the base, is an uncertain parameter. A case study was performed with data from a fire department in the state of Goiás, Brazil. Results, for the nominal model, indicate that the current number of ambulances can serve almost the double of the current number of emergencies. However, the results of the robust model suggest this number is not sufficing, depending on the level of uncertainties imposed.

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Author Biography

Raina Ribeiro Marques, Instituto de Matemática e Tecnologia, Universidade Federal de Goiás, Regional Catalão

 

 

Published

2020-01-13

How to Cite

Marques, R. R., Queiroz, T. A. de, & Romes Antonio. (2020). A Robust Model for the Bases Location and Ambulances Allocation Problem. IEEE Latin America Transactions, 17(11), 1887–1893. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/2489