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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/42UCPHE
Repositóriosid.inpe.br/mtc-m21c/2020/07.30.10.50   (acesso restrito)
Última Atualização2020:07.30.10.50.27 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/07.30.10.50.27
Última Atualização dos Metadados2022:01.04.01.35.17 (UTC) administrator
DOI10.1016/j.cie.2020.106548
ISSN0360-8352
Chave de CitaçãoAraújoChavLore:2020:MaMoCo
TítuloA mathematical model for the coverage location problem with overlap control
Ano2020
MêsAug.
Data de Acesso28 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1662 KiB
2. Contextualização
Autor1 Araújo, Eliseu J.
2 Chaves, Antônio A.
3 Lorena, Luiz Antonio Nogueira
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHMQ
Grupo1
2
3 LABAC-COCTE-INPE-MCTIC-GOV-BR
Afiliação1 Universidade Federal de São Paulo (UNIFESP)
2 Universidade Federal de São Paulo (UNIFESP)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 araujo.eliseu@unifesp.br
2 antonio.chaves@unifesp.br
RevistaComputers and Industrial Engineering
Volume146
Páginase106548
Nota SecundáriaA2_INTERDISCIPLINAR A2_ENGENHARIAS_III A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_ENGENHARIAS_IV C_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2020-07-30 10:50:27 :: simone -> administrator ::
2020-07-30 10:50:28 :: administrator -> simone :: 2020
2020-07-30 10:50:51 :: simone -> administrator :: 2020
2022-01-04 01:35:17 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveCoverage location problem
Overlap
Mathematical model
Emergency systems
ResumoThe Coverage Location Problem (CLP) seeks the best locations for service to minimize the total number of facilities required to meet all demands. This paper studies a new variation of this problem, called the Coverage Location Problem with Overlap Control (CLPOC). This problem models real contexts related to overloaded attendance systems, which require coverage zones with overlaps. Thus, each demand must be covered by a certain number of additional facilities to ensure that demands will be met even when the designated facility is unable to due to some facility issue. This feature is important in public and emergency services. We observe that this number of additional facilities is excessive in some demand points because overlaps among coverage zones occur naturally in CLP. The goal of the CLPOC is to control overlaps to prioritize regions with a high density population or to minimize the number of coverage zones for each demand point. In this paper, we propose a new mathematical model for the CLPOC that controls the overlap between coverage zones. We used a commercial solver to find the optimal solutions for available instances in the literature. The computational tests show that the proposed mathematical model found appropriate solutions in terms of number of demand points with minimum coverage zones and sufficient coverage zones for high demand points.
ÁreaCOMP
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoaraujo_mathematical.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft36
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.54.04 5
sid.inpe.br/bibdigital/2013/09.22.23.14 3
DivulgaçãoPORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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