Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast

Detalhes bibliográficos
Autor(a) principal: Brito, Irineu de [UNESP]
Data de Publicação: 2020
Outros Autores: Uneddu, Silvia, Maspero, Emma, Goncalves, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/logistics4030018
http://hdl.handle.net/11449/218302
Resumo: This research supports the United Nations Children's Fund's (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. Procured from four different suppliers in Asia, the nets were transported to the two ports in Ivory Coast before being pre-positioned at 71 Health Districts across the country, a mixed integer network flow model identifies optimal transport options. The process of modeling and the model developed in this paper brought a significant understanding of the problem and, consequently, a reduction in the overall procurement and logistics costs. The implications of using mathematical modeling by practitioners as a tool which contributes to solve humanitarian logistics problems are significant. Mathematical models, like linear programming, can greatly support overall decision-making within humanitarian organizations by helping to ensure that limited resources are used in the most cost-effective and efficient manner. However, it is important to ensure consultations with and involvement by on the ground practitioners to ensure developed solutions assessed to fit the operating context before being implemented.
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spelling Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coastsupply chain optimizationcampaign logisticsdistribution planningUNICEFIvory CoastThis research supports the United Nations Children's Fund's (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. Procured from four different suppliers in Asia, the nets were transported to the two ports in Ivory Coast before being pre-positioned at 71 Health Districts across the country, a mixed integer network flow model identifies optimal transport options. The process of modeling and the model developed in this paper brought a significant understanding of the problem and, consequently, a reduction in the overall procurement and logistics costs. The implications of using mathematical modeling by practitioners as a tool which contributes to solve humanitarian logistics problems are significant. Mathematical models, like linear programming, can greatly support overall decision-making within humanitarian organizations by helping to ensure that limited resources are used in the most cost-effective and efficient manner. However, it is important to ensure consultations with and involvement by on the ground practitioners to ensure developed solutions assessed to fit the operating context before being implemented.Sao Paulo State Univ, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, BrazilUniv Sao Paulo, Grad Program Logist Syst Engn, BR-05508010 Sao Paulo, BrazilUNICEF, Supply Div, DK-2150 Copenhagen, DenmarkUniv Svizzera Italiana, Fac Econ, Inst Management & Org, CH-6900 Lugano, SwitzerlandSao Paulo State Univ, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, BrazilMdpiUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)UNICEFUniv Svizzera ItalianaBrito, Irineu de [UNESP]Uneddu, SilviaMaspero, EmmaGoncalves, Paulo2022-04-28T17:20:21Z2022-04-28T17:20:21Z2020-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21http://dx.doi.org/10.3390/logistics4030018Logistics-basel. Basel: Mdpi, v. 4, n. 3, 21 p., 2020.http://hdl.handle.net/11449/21830210.3390/logistics4030018WOS:000672636200005Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLogistics-baselinfo:eu-repo/semantics/openAccess2022-04-28T17:20:21Zoai:repositorio.unesp.br:11449/218302Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:07:28.956683Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
title Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
spellingShingle Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
Brito, Irineu de [UNESP]
supply chain optimization
campaign logistics
distribution planning
UNICEF
Ivory Coast
title_short Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
title_full Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
title_fullStr Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
title_full_unstemmed Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
title_sort Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
author Brito, Irineu de [UNESP]
author_facet Brito, Irineu de [UNESP]
Uneddu, Silvia
Maspero, Emma
Goncalves, Paulo
author_role author
author2 Uneddu, Silvia
Maspero, Emma
Goncalves, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
UNICEF
Univ Svizzera Italiana
dc.contributor.author.fl_str_mv Brito, Irineu de [UNESP]
Uneddu, Silvia
Maspero, Emma
Goncalves, Paulo
dc.subject.por.fl_str_mv supply chain optimization
campaign logistics
distribution planning
UNICEF
Ivory Coast
topic supply chain optimization
campaign logistics
distribution planning
UNICEF
Ivory Coast
description This research supports the United Nations Children's Fund's (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. Procured from four different suppliers in Asia, the nets were transported to the two ports in Ivory Coast before being pre-positioned at 71 Health Districts across the country, a mixed integer network flow model identifies optimal transport options. The process of modeling and the model developed in this paper brought a significant understanding of the problem and, consequently, a reduction in the overall procurement and logistics costs. The implications of using mathematical modeling by practitioners as a tool which contributes to solve humanitarian logistics problems are significant. Mathematical models, like linear programming, can greatly support overall decision-making within humanitarian organizations by helping to ensure that limited resources are used in the most cost-effective and efficient manner. However, it is important to ensure consultations with and involvement by on the ground practitioners to ensure developed solutions assessed to fit the operating context before being implemented.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-01
2022-04-28T17:20:21Z
2022-04-28T17:20:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/logistics4030018
Logistics-basel. Basel: Mdpi, v. 4, n. 3, 21 p., 2020.
http://hdl.handle.net/11449/218302
10.3390/logistics4030018
WOS:000672636200005
url http://dx.doi.org/10.3390/logistics4030018
http://hdl.handle.net/11449/218302
identifier_str_mv Logistics-basel. Basel: Mdpi, v. 4, n. 3, 21 p., 2020.
10.3390/logistics4030018
WOS:000672636200005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Logistics-basel
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 21
dc.publisher.none.fl_str_mv Mdpi
publisher.none.fl_str_mv Mdpi
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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