Computational comparison of five maximal covering models for locating ambulances

Name: Computational comparison of five maximal covering models for locating ambulances
Author: Erkut, Erhan, Ingolfsson, A., Sim, T., Erdoğan, Güneş

İsim	Computational comparison of five maximal covering models for locating ambulances
Yazar	Erkut, Erhan, Ingolfsson, A., Sim, T., Erdoğan, Güneş
Basım Tarihi:	2009-01
Basım Yeri	- Wiley
Konu	Mathematical optimization, Ambulances, Uncertainty, Reaction time, Modelmaking
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1538-4632
Kayıt Numarası	f1fbaed4-a624-43eb-b345-1b0265e3e361
Lokasyon	Business Administration, Industrial Engineering
Tarih	2009-01
Örnek Metin	This article categorizes existing maximum coverage optimization models for locatingambulances based on whether the models incorporate uncertainty about (1) ambulanceavailability and (2) response times. Data from Edmonton, Alberta, Canada are used to test five different models, using the approximate hypercube model to compare solution quality between models. The basic maximum covering model, which ignores these two sources of uncertainty, generates solutions that perform far worse than those generated by more sophisticated models. For a specified number of ambulances, a model that incorporates both sources of uncertainty generates a configuration that covers up to 26% more of the demand than the configuration produced by the basic model.
DOI	10.1111/j.1538-4632.2009.00747.x
Cilt	41

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Computational comparison of five maximal covering models for locating ambulances

Yazar Erkut, Erhan, Ingolfsson, A., Sim, T., Erdoğan, Güneş

Basım Tarihi 2009-01

Basım Yeri - Wiley

Konu Mathematical optimization, Ambulances, Uncertainty, Reaction time, Modelmaking

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1538-4632

Kayıt Numarası f1fbaed4-a624-43eb-b345-1b0265e3e361

Lokasyon Business Administration, Industrial Engineering

Tarih 2009-01

Örnek Metin This article categorizes existing maximum coverage optimization models for locatingambulances based on whether the models incorporate uncertainty about (1) ambulanceavailability and (2) response times. Data from Edmonton, Alberta, Canada are used to test five different models, using the approximate hypercube model to compare solution quality between models. The basic maximum covering model, which ignores these two sources of uncertainty, generates solutions that perform far worse than those generated by more sophisticated models. For a specified number of ambulances, a model that incorporates both sources of uncertainty generates a configuration that covers up to 26% more of the demand than the configuration produced by the basic model.

DOI 10.1111/j.1538-4632.2009.00747.x

Cilt 41