Filtros : "LOGÍSTICA" "Indexado no Web of Science" Removidos: "PST" "GONZALEZ, ERNESTO RAFAEL" Limpar

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  • Source: Scientific Reports. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: POLÍTICA DE PREÇO, LOGÍSTICA, APRENDIZADO COMPUTACIONAL, SEGUROS

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      PANHAM, Diogo Silva e LOUZADA, Francisco e RAMOS, Pedro Luiz. Reducing delivery insurance costs through risk score model for food delivery company. Scientific Reports, v. 14, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1038/s41598-024-57548-3. Acesso em: 11 set. 2024.
    • APA

      Panham, D. S., Louzada, F., & Ramos, P. L. (2024). Reducing delivery insurance costs through risk score model for food delivery company. Scientific Reports, 14, 1-14. doi:10.1038/s41598-024-57548-3
    • NLM

      Panham DS, Louzada F, Ramos PL. Reducing delivery insurance costs through risk score model for food delivery company [Internet]. Scientific Reports. 2024 ; 14 1-14.[citado 2024 set. 11 ] Available from: https://doi.org/10.1038/s41598-024-57548-3
    • Vancouver

      Panham DS, Louzada F, Ramos PL. Reducing delivery insurance costs through risk score model for food delivery company [Internet]. Scientific Reports. 2024 ; 14 1-14.[citado 2024 set. 11 ] Available from: https://doi.org/10.1038/s41598-024-57548-3
  • Source: Computers & Operations Research. Unidade: ICMC

    Subjects: LOGÍSTICA, PROGRAMAÇÃO LINEAR, DISTRIBUIÇÃO DE MERCADORIAS

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      CASTELLUCCI, Pedro Belin e COSTA, Alysson Machado e TOLEDO, Franklina Maria Bragion de. Network scheduling problem with cross-docking and loading constraints. Computers & Operations Research, v. 132, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2021.105271. Acesso em: 11 set. 2024.
    • APA

      Castellucci, P. B., Costa, A. M., & Toledo, F. M. B. de. (2021). Network scheduling problem with cross-docking and loading constraints. Computers & Operations Research, 132, 1-14. doi:10.1016/j.cor.2021.105271
    • NLM

      Castellucci PB, Costa AM, Toledo FMB de. Network scheduling problem with cross-docking and loading constraints [Internet]. Computers & Operations Research. 2021 ; 132 1-14.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.cor.2021.105271
    • Vancouver

      Castellucci PB, Costa AM, Toledo FMB de. Network scheduling problem with cross-docking and loading constraints [Internet]. Computers & Operations Research. 2021 ; 132 1-14.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.cor.2021.105271
  • Source: Computers & Industrial Engineering. Unidade: ICMC

    Subjects: LOGÍSTICA, TRANSBORDO DE CARGA, HEURÍSTICA, CAMINHÕES

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      NOGUEIRA, Thiago Henrique et al. Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center. Computers & Industrial Engineering, v. 143, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2020.106391. Acesso em: 11 set. 2024.
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      Nogueira, T. H., Coutinho, F. P., Ribeiro, R. P., & Ravetti, M. G. (2020). Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center. Computers & Industrial Engineering, 143, 1-15. doi:10.1016/j.cie.2020.106391
    • NLM

      Nogueira TH, Coutinho FP, Ribeiro RP, Ravetti MG. Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center [Internet]. Computers & Industrial Engineering. 2020 ; 143 1-15.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.cie.2020.106391
    • Vancouver

      Nogueira TH, Coutinho FP, Ribeiro RP, Ravetti MG. Parallel-machine scheduling methodology for a multi-dock truck sequencing problem in a cross-docking center [Internet]. Computers & Industrial Engineering. 2020 ; 143 1-15.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.cie.2020.106391
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, ESTATÍSTICA E PROBABILIDADE, MODELOS NÃO LINEARES, LOGÍSTICA, MODELOS MATEMÁTICOS, DADOS CENSURADOS

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      GRANZOTTO, Daniele C. T e FERREIRA, Paulo H. e LOUZADA, Francisco. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data. Communications in Statistics - Theory and Methods, v. 48, n. 7, p. 1798-1813, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1440313. Acesso em: 11 set. 2024.
    • APA

      Granzotto, D. C. T., Ferreira, P. H., & Louzada, F. (2019). Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data. Communications in Statistics - Theory and Methods, 48( 7), 1798-1813. doi:10.1080/03610926.2018.1440313
    • NLM

      Granzotto DCT, Ferreira PH, Louzada F. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 7): 1798-1813.[citado 2024 set. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1440313
    • Vancouver

      Granzotto DCT, Ferreira PH, Louzada F. Likelihood-based inference for the transmuted log-logistic model in the presence of right-censored data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 7): 1798-1813.[citado 2024 set. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1440313

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