On the Run Length of a State-Space Control Chart for Multivariate Autocorrelated Data

Vargas, Manuel; Alfaro, José Luis; Mondéjar, J José

doi:10.1080/03610910903147771

Cited by 3 publications

(1 citation statement)

References 32 publications

(16 reference statements)

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“…Hwarng et Wang (2010) estabelece o uso de redes neurais que são capazes de identificar deslocamentos no vetor de médias de processos autocorrelacionados. Há vários outros trabalhos sobre monitoramento de processos autocorrelacionados; Apley et Tsung (2002), Jiang (2004), Vargas et al (2009) e Chen et Nembhard (2011) são alguns deles.…”

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A presença da autocorrelação no gráfico de controle T2 de Hotelling

Leoni

Costa

Machado

2017

S&G

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A presença da autocorrelação viola a hipótese de independência de dados utilizados em gráficos estatísticos de controle no ambiente fabril. Este artigo avalia graficamente, utilizando a distância de Mahalanobis, o efeito da autocorrelação em duas características de qualidade mensuráveis X e Y, cujas estruturas de correlação e autocorrelação são de um modelo VAR(1). Com a avaliação gráfica, é possível compreender que a presença da autocorrelação não pode ser negligenciada pelos usuários que utilizam como ferramenta os gráficos estatísticos de controle para monitorar processos.

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A presença da autocorrelação no gráfico de controle T2 de Hotelling

Leoni

Costa

Machado

2017

S&G

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A new proposal to solve the autocorrelation problem for monitoring processes in the cutlery industry

Navarro

Vargas-Vargas

Martínez

et al. 2014

Japan J. Indust. Appl. Math.

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Kalite Kontrol Grafiklerinde R Programlama Dilinin Kullanımı İle İlgili İçerik Analizi

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2019

OPUS Uluslararası Toplum Araştırmaları Dergisi

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Although there are various methods that help improve quality in statistical process control, quality control charts are considered to be the most important methods available. The superiority of these charts compared to other methods is that they are easy to use, to design and visually understandable. Observations related to the quality characteristics determined in the quality control charts are generally followed by the creation of package programs such as SPSS, MINITAB, STATA or programming languages such as MATLAB, C++. Recently, however, it has been determined that the use of R programs in the creation of quality control charts, the detection of uncontrolled signals in these charts, in the diagnosis of errors and similar areas is rapidly becoming widespread and a lot of studies are conducted in foreign literature. In this context, it was aimed to make a research about the use of R program in quality control charts. In this way, it is considered that this study will contribute to the quality control employees and the domestic and foreign literature. In this study, four books and thirty-six articles were examined according to content analysis method according to seven criteria. As a result of the study; (1) in the books and articles examined in relation to the use of the R program in control charts, theoretical issues are emphasized, applied issues are in the minority, (2) most of the R packages used in the design of quality control charts is qcc package (3) mainly used control graphs are multivariate control graphs in theory development and applications, and most commonly used control charts were Hotelling T², MCUSUM and MEWMA control charts, and (4) control charts were measured using ARL. (5) mainly used artificial data in applications with control charts, (6) Monte Carlo simulation method is preferred in simulation studies, (7) it is concluded that a wide variety of control charts suggested for various situations are included in the literature.

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On the Run Length of a State-Space Control Chart for Multivariate Autocorrelated Data

Cited by 3 publications

References 32 publications

A presença da autocorrelação no gráfico de controle T2 de Hotelling

A presença da autocorrelação no gráfico de controle T2 de Hotelling

A new proposal to solve the autocorrelation problem for monitoring processes in the cutlery industry

Kalite Kontrol Grafiklerinde R Programlama Dilinin Kullanımı İle İlgili İçerik Analizi

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