Antonio Fernando Branco Costa

Carlos Henrique dos Santos

Qual. Reliab. Eng. Int., November, 2024

Digital Twin simulation models: a validation method based on machine learning and control charts.

[BibT_eX]

[DOI]

Afonso Teberga Campos

José Arnaldo Barra Montevechi

Rafael de Carvalho Miranda

Int. J. Prod. Res., April, 2024

2023

Comparing the sequential and the repetitive Cpk sampling plans.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., November, 2023

The performance of the Cpk chart.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., August, 2023

2022

The use of the Cpm index to monitor processes.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2022

2021

A trinomial chart for monitoring the process variance.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2021

2020

A Shewhart chart with alternated charting statistic to control multivariate Poisson processes.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2020

2018

Energy efficiency in buildings: analysis of scientific literature and identification of data analysis techniques from a bibliometric study.

[BibT_eX]

[DOI]

Talita Mariane Cristino

Antônio Faria Neto

Scientometrics, 2018

Attribute control charts for monitoring the covariance matrix of bivariate processes.

[BibT_eX]

[DOI]

Linda Lee Ho

Qual. Reliab. Eng. Int., 2018

The Shewhart attribute chart with alternated charting statistics to monitor bivariate and trivariate mean vectors.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2018

2017

Monitoring bivariate and trivariate mean vectors with a Shewhart chart.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2017

The double sampling range chart.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2017

The S chart with variable charting statistic to control bi and trivariate processes.

[BibT_eX]

[DOI]

Antônio Faria Neto

Comput. Ind. Eng., 2017

2016

Optimization of Pultrusion Process Parameters via Design of Experiments and Response Surface.

[BibT_eX]

[DOI]

Antônio Faria Neto

Qual. Reliab. Eng. Int., 2016

Synthetic charts to control bivariate processes with autocorrelated data.

[BibT_eX]

[DOI]

Felipe Domingues Simões

Comput. Ind. Eng., 2016

A side-sensitive synthetic chart combined with a VSS chart.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2016

2015

Simultaneous Univariate X_bar Charts to Control Bivariate Processes with Autocorrelated Data.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2015

Attribute Charts for Monitoring the Mean Vector of Bivariate Processes.

[BibT_eX]

[DOI]

Linda Lee Ho

Qual. Reliab. Eng. Int., 2015

The steady-state behavior of the synthetic and side-sensitive synthetic double sampling X¯ charts.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2015

The effect of the autocorrelation on the performance of the T2 chart.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2015

2013

A single chart with supplementary runs rules for monitoring the mean vector and the covariance matrix of multivariate processes.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2013

2012

The Variable Sample Size X¯ Chart with Estimated Parameters.

[BibT_eX]

[DOI]

Philippe Castagliola

Ying Zhang

Petros E. Maravelakis

Qual. Reliab. Eng. Int., 2012

Economic-statistical design of the X chart used to control a wandering process mean using genetic algorithm.

[BibT_eX]

[DOI]

Bruno Chaves Franco

Expert Syst. Appl., 2012

2009

The synthetic control chart based on two sample variances for monitoring the covariance matrix.

[BibT_eX]

[DOI]

M. A. Rahim

Qual. Reliab. Eng. Int., 2009

2008

A New Chart for Monitoring the Covariance Matrix of Bivariate Processes.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2008

2007

An adaptive chart for monitoring the process mean and variance.

[BibT_eX]

[DOI]

Maysa S. De Magalhães

Qual. Reliab. Eng. Int., 2007

2006

The non-central chi-square chart with two-stage samplings.

[BibT_eX]

[DOI]