Filtros : "Carvalho, Cleginaldo Pereira de" Limpar

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  • Source: Proceedings of 15th Intenational CDIO Conference. Unidade: EEL

    Assunto: APRENDIZAGEM BASEADA EM PROJETOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      CARVALHO, Cleginaldo Pereira de et al. Comparison of Different Types of Active Learning in a Course of Industrial Engineering. Proceedings of 15th Intenational CDIO Conference. Aarhus: Aarhus University. Disponível em: https://doi.org/10.7146/aul.347. Acesso em: 04 jun. 2024. , 2023
    • APA

      Carvalho, C. P. de, Silva, M. B., Aihara, B. N., & Ferreira, E. P. (2023). Comparison of Different Types of Active Learning in a Course of Industrial Engineering. Proceedings of 15th Intenational CDIO Conference. Aarhus: Aarhus University. doi:doi.org/10.7146/aul.347
    • NLM

      Carvalho CP de, Silva MB, Aihara BN, Ferreira EP. Comparison of Different Types of Active Learning in a Course of Industrial Engineering [Internet]. Proceedings of 15th Intenational CDIO Conference. 2023 ;212-220.[citado 2024 jun. 04 ] Available from: https://doi.org/10.7146/aul.347
    • Vancouver

      Carvalho CP de, Silva MB, Aihara BN, Ferreira EP. Comparison of Different Types of Active Learning in a Course of Industrial Engineering [Internet]. Proceedings of 15th Intenational CDIO Conference. 2023 ;212-220.[citado 2024 jun. 04 ] Available from: https://doi.org/10.7146/aul.347
  • Source: Journal of Southwest Jiaotong University. Unidade: EEL

    Subjects: TOMADA DE DECISÃO, PRODUTIVIDADE, QUALIDADE DO PRODUTO

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    • ABNT

      CARVALHO, Cleginaldo Pereira de e CINTRA, Cindy Fernandes. Production data treatment for decision-making using power bi: Evidence at a steel manufacturing. Journal of Southwest Jiaotong University, v. 57, n. 6, p. 1011-1018, 2022Tradução . . Disponível em: https://doi.org/10.35741/issn.0258-2724.57.6.87. Acesso em: 04 jun. 2024.
    • APA

      Carvalho, C. P. de, & Cintra, C. F. (2022). Production data treatment for decision-making using power bi: Evidence at a steel manufacturing. Journal of Southwest Jiaotong University, 57( 6), 1011-1018. doi:10.35741/issn.0258-2724.57.6.87
    • NLM

      Carvalho CP de, Cintra CF. Production data treatment for decision-making using power bi: Evidence at a steel manufacturing [Internet]. Journal of Southwest Jiaotong University. 2022 ;57( 6): 1011-1018.[citado 2024 jun. 04 ] Available from: https://doi.org/10.35741/issn.0258-2724.57.6.87
    • Vancouver

      Carvalho CP de, Cintra CF. Production data treatment for decision-making using power bi: Evidence at a steel manufacturing [Internet]. Journal of Southwest Jiaotong University. 2022 ;57( 6): 1011-1018.[citado 2024 jun. 04 ] Available from: https://doi.org/10.35741/issn.0258-2724.57.6.87
  • Source: International journal of production management and engineering. Unidade: EEL

    Assunto: MANUFATURA ENXUTA

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    • ABNT

      CARVALHO, Cleginaldo Pereira de e CARVALHO, D. S. e SILVA, Messias Borges. Value stream mapping as a lean manufacturing tool: A new account approach for cost saving in a textile company. International journal of production management and engineering, v. 7, n. 1, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.4995/ijpme.2019.8607. Acesso em: 04 jun. 2024.
    • APA

      Carvalho, C. P. de, Carvalho, D. S., & Silva, M. B. (2019). Value stream mapping as a lean manufacturing tool: A new account approach for cost saving in a textile company. International journal of production management and engineering, 7( 1), 1-12. doi:10.4995/ijpme.2019.8607
    • NLM

      Carvalho CP de, Carvalho DS, Silva MB. Value stream mapping as a lean manufacturing tool: A new account approach for cost saving in a textile company [Internet]. International journal of production management and engineering. 2019 ;7( 1): 1-12.[citado 2024 jun. 04 ] Available from: https://doi.org/10.4995/ijpme.2019.8607
    • Vancouver

      Carvalho CP de, Carvalho DS, Silva MB. Value stream mapping as a lean manufacturing tool: A new account approach for cost saving in a textile company [Internet]. International journal of production management and engineering. 2019 ;7( 1): 1-12.[citado 2024 jun. 04 ] Available from: https://doi.org/10.4995/ijpme.2019.8607

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