A review of mathematical optimization models applied to the sugarcane supply chain

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorTeixeira, Eduardo dos Santos-
Autor(es): dc.creatorRangel, Socorro-
Autor(es): dc.creatorFlorentino, Helenice de O.-
Autor(es): dc.creatorde Araujo, Silvio Alexandre-
Data de aceite: dc.date.accessioned2025-08-21T15:37:01Z-
Data de disponibilização: dc.date.available2025-08-21T15:37:01Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1111/itor.13056-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/229582-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/229582-
Descrição: dc.descriptionSugarcane is a product of great economic relevance and, as well as its use for the production of different types of sugar, it is also a renewable source for the production of bio-fuels, other bio-products, and electricity. In this context, efficient planning and technology changes are necessary to ensure high productivity, competitiveness and harmony with economic, social, and environmental issues. Consequently, this sector needs technical and scientific support. Mathematical optimization models can be useful to build efficient planning tools for the activities involved in the sugarcane supply chain, helping to address these challenges. This paper describes the sugarcane supply chain and presents a literature review of mathematical optimization models that have been proposed to represent its main stages: planting, harvesting, transporting, industrial processing, and marketing. The findings show that several models have been proposed to represent these five stages, however, most of them have not been thoroughly explored from the point of view of strength of the models and solution methods. Moreover, the harvesting stage is the one that has received more attention than the other stages. In the integration of two or more stages, there are many challenges yet to be addressed by mathematical optimization models. This review contributes to a better understanding of the sugar-energy sector and opens up new perspectives for future investigations.-
Descrição: dc.descriptionDepartamento de Matemática IBILCE UNESP - Universidade Estadual Paulista-
Descrição: dc.descriptionDepartamento de Bioestatística IBB UNESP - Universidade Estadual Paulista-
Descrição: dc.descriptionDepartamento de Matemática IBILCE UNESP - Universidade Estadual Paulista-
Descrição: dc.descriptionDepartamento de Bioestatística IBB UNESP - Universidade Estadual Paulista-
Idioma: dc.languageen-
Relação: dc.relationInternational Transactions in Operational Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectliterature review-
Palavras-chave: dc.subjectmathematical optimization models-
Palavras-chave: dc.subjectsugar-energy sector-
Palavras-chave: dc.subjectsugarcane-
Palavras-chave: dc.subjectsupply chain-
Título: dc.titleA review of mathematical optimization models applied to the sugarcane supply chain-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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