Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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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 |
|
_version_ |
1808129162395779072 |