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  • Source: Computers & Industrial Engineering. Unidade: EP

    Subjects: MÉTODO DE MONTE CARLO, GRÁFICOS

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    • ABNT

      QUININO, Roberto da Costa e CRUZ, Frederico Rodrigues Borges da e HO, Linda Lee. Attribute inspection control charts for the joint monitoring of mean and variance. Computers & Industrial Engineering, v. 139, n. Ja 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2019.106131. Acesso em: 27 nov. 2025.
    • APA

      Quinino, R. da C., Cruz, F. R. B. da, & Ho, L. L. (2020). Attribute inspection control charts for the joint monitoring of mean and variance. Computers & Industrial Engineering, 139( Ja 2020). doi:10.1016/j.cie.2019.106131
    • NLM

      Quinino R da C, Cruz FRB da, Ho LL. Attribute inspection control charts for the joint monitoring of mean and variance [Internet]. Computers & Industrial Engineering. 2020 ; 139( Ja 2020):[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.cie.2019.106131
    • Vancouver

      Quinino R da C, Cruz FRB da, Ho LL. Attribute inspection control charts for the joint monitoring of mean and variance [Internet]. Computers & Industrial Engineering. 2020 ; 139( Ja 2020):[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.cie.2019.106131
  • Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: TEORIA DAS FILAS, MÉTODO DE MONTE CARLO, PROCESSOS DE MARKOV

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    • ABNT

      CRUZ, Frederico Rodrigues Borges da e QUININO, Roberto da Costa e HO, Linda Lee. Control charts for traffic intensity monitoring of Markovian multiserver queues. Quality and Reliability Engineering International, v. 36, n. 1, p. 354-364, 2020Tradução . . Disponível em: https://doi.org/10.1002/qre.2578. Acesso em: 27 nov. 2025.
    • APA

      Cruz, F. R. B. da, Quinino, R. da C., & Ho, L. L. (2020). Control charts for traffic intensity monitoring of Markovian multiserver queues. Quality and Reliability Engineering International, 36( 1), 354-364. doi:10.1002/qre.2578
    • NLM

      Cruz FRB da, Quinino R da C, Ho LL. Control charts for traffic intensity monitoring of Markovian multiserver queues [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 354-364.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/qre.2578
    • Vancouver

      Cruz FRB da, Quinino R da C, Ho LL. Control charts for traffic intensity monitoring of Markovian multiserver queues [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 354-364.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/qre.2578
  • Source: Journal of Statistical Computation and Simulation. Unidade: EP

    Subjects: GRÁFICOS, ESTATÍSTICA

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      QUININO, Roberto da Costa et al. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, v. 90, n. 9, p. 1639-1660, 2020Tradução . . Disponível em: https://doi.org/10.1080/00949655.2020.1741588. Acesso em: 27 nov. 2025.
    • APA

      Quinino, R. da C., Ho, L. L., Cruz, F. R. B. da, & Bessegato, L. F. (2020). A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart. Journal of Statistical Computation and Simulation, 90( 9), 1639-1660. doi:10.1080/00949655.2020.1741588
    • NLM

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
    • Vancouver

      Quinino R da C, Ho LL, Cruz FRB da, Bessegato LF. A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart [Internet]. Journal of Statistical Computation and Simulation. 2020 ; 90( 9): 1639-1660.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/00949655.2020.1741588
  • Conference titles: International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing. Unidades: EP, IEE

    Subjects: PLANEJAMENTO DE TRANSPORTES, AUTOMÓVEIS, PROGRAMAÇÃO LINEAR, MODELOS MATEMÁTICOS

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    • ABNT

      MONTEIRO, Cristiano Martins et al. Maximizing carsharing profits: an optimization model to support the carsharing planning. . Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.promfg.2020.01.234. Acesso em: 27 nov. 2025. , 2019
    • APA

      Monteiro, C. M., Machado, C. A. S., Lage, M. de O., Berssaneti, F. T., Davis Junior, C. A., & Quintanilha, J. A. (2019). Maximizing carsharing profits: an optimization model to support the carsharing planning. Amsterdam: Elsevier. doi:10.1016/j.promfg.2020.01.234
    • NLM

      Monteiro CM, Machado CAS, Lage M de O, Berssaneti FT, Davis Junior CA, Quintanilha JA. Maximizing carsharing profits: an optimization model to support the carsharing planning [Internet]. 2019 ; 39 1968-1976.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.promfg.2020.01.234
    • Vancouver

      Monteiro CM, Machado CAS, Lage M de O, Berssaneti FT, Davis Junior CA, Quintanilha JA. Maximizing carsharing profits: an optimization model to support the carsharing planning [Internet]. 2019 ; 39 1968-1976.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.promfg.2020.01.234
  • Source: Communications in Statistics. Simulation and Computation. Unidade: EP

    Subjects: PROCESSOS DE MARKOV, NFERÊNCIA BAYESIANA, MATEMÁTICA DA COMPUTAÇÃO

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    • ABNT

      CRUZ, Frederico Rodrigues Borges da e QUININO, Roberto da Costa e HO, Linda Lee. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue. Communications in Statistics. Simulation and Computation, v. 46, n. 9, p. 6907-6922, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1236953. Acesso em: 27 nov. 2025.
    • APA

      Cruz, F. R. B. da, Quinino, R. da C., & Ho, L. L. (2017). Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue. Communications in Statistics. Simulation and Computation, 46( 9), 6907-6922. doi:10.1080/03610918.2016.1236953
    • NLM

      Cruz FRB da, Quinino R da C, Ho LL. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 9): 6907-6922.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/03610918.2016.1236953
    • Vancouver

      Cruz FRB da, Quinino R da C, Ho LL. Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue [Internet]. Communications in Statistics. Simulation and Computation. 2017 ; 46( 9): 6907-6922.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/03610918.2016.1236953

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