Stochastic model for setpoint of a rolling mill: an application in the soybean oil production

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorFerreira, Magna Paulina de Souza-
Autor(es): dc.creatorArantes, Márcio da Silva-
Autor(es): dc.creatorArantes, Jesimar da Silva-
Autor(es): dc.creatorBonnard, Renan-
Autor(es): dc.creatorToledo, Claudio Fabiano Motta-
Data de aceite: dc.date.accessioned2026-02-09T11:36:28Z-
Data de disponibilização: dc.date.available2026-02-09T11:36:28Z-
Data de envio: dc.date.issued2024-03-04-
Data de envio: dc.date.issued2024-03-04-
Data de envio: dc.date.issued2022-06-09-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/58960-
Fonte completa do material: dc.identifierhttps://link.springer.com/article/10.1007/s00170-022-09439-y-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1143411-
Descrição: dc.descriptionThe present paper proposes a stochastic model for soybean oil extraction, introducing an automated and reliable method for flake thickness control. In this production process, to have a robust solution, we must consider the uncertainty arising, e.g., from inaccurate sensor readings and unforeseen changes in production. The main objective is to maximize the oil extraction by keeping the thicknesses of the soybean flakes within an operating range. Data collection performed in the industrial plant made it possible to analyze the input data with their respective outputs. A methodology based on multiple linear regression was used to describe the relationship between the variables. We propose a mathematical stochastic model to obtain pressure setpoints that produce flakes as ideal as possible for oil extraction. The results reported time and quality improvements within the production process.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherSpring Nature-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.source. The International Journal of Advanced Manufacturing Technology-
Palavras-chave: dc.subjectMathematical modeling-
Palavras-chave: dc.subjectTwo-stage stochastic program-
Palavras-chave: dc.subjectSoybean oil extraction-
Palavras-chave: dc.subjectIndustry 4.0-
Título: dc.titleStochastic model for setpoint of a rolling mill: an application in the soybean oil production-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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