Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources

Detalhes bibliográficos
Autor(a) principal: Nelas, José
Data de Publicação: 2020
Outros Autores: Dias, Joana Dias
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/95306
https://doi.org/10.1016/j.ejor.2020.03.067
Resumo: Decisions on where to locate emergency vehicles have a crucial impact on the quality of the emergency service that is provided to populations, with consequences in terms of mortality and quality of life. It is important to guarantee the access of the population to emergency care, not forgetting the need to guarantee the best possible use of all available resources. In this work a new integer linear programming model is presented that aims at optimizing the location of emergency vehicles, considering in an explicit way the substitutability possibilities among vehicles of different types, taken into account the type of care they can provide. Moreover, the assignment of variables to emergency episodes is also explicitly considered which allows the model to be more accurate when calculating the expected coverage obtained. Both deterministic and stochastic models are presented. In the stochastic model, uncertainty regarding emergency episodes is represented by using scenarios. The model is applied to a dataset built considering all the features which are present in real data.
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spelling Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resourcesLocation OR in health services Emergency vehicles UncertaintyDecisions on where to locate emergency vehicles have a crucial impact on the quality of the emergency service that is provided to populations, with consequences in terms of mortality and quality of life. It is important to guarantee the access of the population to emergency care, not forgetting the need to guarantee the best possible use of all available resources. In this work a new integer linear programming model is presented that aims at optimizing the location of emergency vehicles, considering in an explicit way the substitutability possibilities among vehicles of different types, taken into account the type of care they can provide. Moreover, the assignment of variables to emergency episodes is also explicitly considered which allows the model to be more accurate when calculating the expected coverage obtained. Both deterministic and stochastic models are presented. In the stochastic model, uncertainty regarding emergency episodes is represented by using scenarios. The model is applied to a dataset built considering all the features which are present in real data.European Journal of Operational Research2020-03-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/95306http://hdl.handle.net/10316/95306https://doi.org/10.1016/j.ejor.2020.03.067enghttps://www.sciencedirect.com/science/article/abs/pii/S0377221720303003Nelas, JoséDias, Joana Diasinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-05-25T04:11:31Zoai:estudogeral.uc.pt:10316/95306Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:13:50.189833Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
title Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
spellingShingle Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
Nelas, José
Location OR in health services Emergency vehicles Uncertainty
title_short Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
title_full Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
title_fullStr Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
title_full_unstemmed Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
title_sort Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources
author Nelas, José
author_facet Nelas, José
Dias, Joana Dias
author_role author
author2 Dias, Joana Dias
author2_role author
dc.contributor.author.fl_str_mv Nelas, José
Dias, Joana Dias
dc.subject.por.fl_str_mv Location OR in health services Emergency vehicles Uncertainty
topic Location OR in health services Emergency vehicles Uncertainty
description Decisions on where to locate emergency vehicles have a crucial impact on the quality of the emergency service that is provided to populations, with consequences in terms of mortality and quality of life. It is important to guarantee the access of the population to emergency care, not forgetting the need to guarantee the best possible use of all available resources. In this work a new integer linear programming model is presented that aims at optimizing the location of emergency vehicles, considering in an explicit way the substitutability possibilities among vehicles of different types, taken into account the type of care they can provide. Moreover, the assignment of variables to emergency episodes is also explicitly considered which allows the model to be more accurate when calculating the expected coverage obtained. Both deterministic and stochastic models are presented. In the stochastic model, uncertainty regarding emergency episodes is represented by using scenarios. The model is applied to a dataset built considering all the features which are present in real data.
publishDate 2020
dc.date.none.fl_str_mv 2020-03-25
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/95306
http://hdl.handle.net/10316/95306
https://doi.org/10.1016/j.ejor.2020.03.067
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https://doi.org/10.1016/j.ejor.2020.03.067
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dc.publisher.none.fl_str_mv European Journal of Operational Research
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