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Publicação:
Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast

dc.contributor.authorBrito, Irineu de [UNESP]
dc.contributor.authorUneddu, Silvia
dc.contributor.authorMaspero, Emma
dc.contributor.authorGoncalves, Paulo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUNICEF
dc.contributor.institutionUniv Svizzera Italiana
dc.date.accessioned2022-04-28T17:20:21Z
dc.date.available2022-04-28T17:20:21Z
dc.date.issued2020-09-01
dc.description.abstractThis 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.en
dc.description.affiliationSao Paulo State Univ, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, Brazil
dc.description.affiliationUniv Sao Paulo, Grad Program Logist Syst Engn, BR-05508010 Sao Paulo, Brazil
dc.description.affiliationUNICEF, Supply Div, DK-2150 Copenhagen, Denmark
dc.description.affiliationUniv Svizzera Italiana, Fac Econ, Inst Management & Org, CH-6900 Lugano, Switzerland
dc.description.affiliationUnespSao Paulo State Univ, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, Brazil
dc.format.extent21
dc.identifierhttp://dx.doi.org/10.3390/logistics4030018
dc.identifier.citationLogistics-basel. Basel: Mdpi, v. 4, n. 3, 21 p., 2020.
dc.identifier.doi10.3390/logistics4030018
dc.identifier.urihttp://hdl.handle.net/11449/218302
dc.identifier.wosWOS:000672636200005
dc.language.isoeng
dc.publisherMdpi
dc.relation.ispartofLogistics-basel
dc.sourceWeb of Science
dc.subjectsupply chain optimization
dc.subjectcampaign logistics
dc.subjectdistribution planning
dc.subjectUNICEF
dc.subjectIvory Coast
dc.titleOptimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coasten
dc.typeArtigopt
dcterms.rightsHolderMdpi
dspace.entity.typePublication
unesp.author.orcid0000-0003-2977-6905[1]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, São José dos Campospt

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