Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUNICEF-
Autor(es): dc.contributorUniv Svizzera Italiana-
Autor(es): dc.creatorBrito, Irineu de [UNESP]-
Autor(es): dc.creatorUneddu, Silvia-
Autor(es): dc.creatorMaspero, Emma-
Autor(es): dc.creatorGoncalves, Paulo-
Data de aceite: dc.date.accessioned2022-08-04T21:57:46Z-
Data de disponibilização: dc.date.available2022-08-04T21:57:46Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/logistics4030018-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/218302-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/218302-
Descrição: dc.descriptionThis 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.-
Descrição: dc.descriptionSao Paulo State Univ, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Grad Program Logist Syst Engn, BR-05508010 Sao Paulo, Brazil-
Descrição: dc.descriptionUNICEF, Supply Div, DK-2150 Copenhagen, Denmark-
Descrição: dc.descriptionUniv Svizzera Italiana, Fac Econ, Inst Management & Org, CH-6900 Lugano, Switzerland-
Descrição: dc.descriptionSao Paulo State Univ, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, Brazil-
Formato: dc.format21-
Idioma: dc.languageen-
Publicador: dc.publisherMdpi-
Relação: dc.relationLogistics-basel-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectsupply chain optimization-
Palavras-chave: dc.subjectcampaign logistics-
Palavras-chave: dc.subjectdistribution planning-
Palavras-chave: dc.subjectUNICEF-
Palavras-chave: dc.subjectIvory Coast-
Título: dc.titleOptimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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