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Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic.
Gonzatto Junior, Oilson Alberto; Nascimento, Diego Carvalho; Russo, Cibele Maria; Henriques, Marcos Jardel; Tomazella, Caio Paziani; Santos, Maristela Oliveira; Neves, Denis; Assad, Diego; Guerra, Rafaela; Bertazo, Evelyn Keise; Cuminato, José Alberto; Louzada, Francisco.
Afiliación
  • Gonzatto Junior OA; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Nascimento DC; Department of Informatics Engineering and Computer Science, University of Atacama, Copiapó, Chile.
  • Russo CM; Department of Mathematics, University of Atacama, Copiapó, Chile.
  • Henriques MJ; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Tomazella CP; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Santos MO; Department of Informatics Engineering and Computer Science, University of Atacama, Copiapó, Chile.
  • Neves D; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Assad D; Department of Applied Mathematics and Statistics, Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Guerra R; Bionexo, São Paulo, Brazil.
  • Bertazo EK; Bionexo, São Paulo, Brazil.
  • Cuminato JA; Bionexo, São Paulo, Brazil.
  • Louzada F; Bionexo, São Paulo, Brazil.
Knowl Based Syst ; 247: 108753, 2022 Jul 08.
Article en En | MEDLINE | ID: mdl-35469240
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: Knowl Based Syst Año: 2022 Tipo del documento: Article País de afiliación: Brasil
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: Knowl Based Syst Año: 2022 Tipo del documento: Article País de afiliación: Brasil