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Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015-06-01)
This article proposes two Shewhart charts, denoted np(xy) and np(w) charts, which use attribute inspection to control the mean vector ((x); (y)) of bivariate processes. The units of the sample are classified as first-class, ...
Adaptive sample size control charts for attributes
(2001-01-01)
Theoretical results have shown that the X̄ chart with variable sample sizes (VSS) is quicker than the traditional X̄ chart for detecting moderate shifts in the process. The idea is to make the sample size vary depending ...
Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015)
Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015)
Monitoring the covariance matrix of bivariate processes with the DVMAX control charts
(2022-01-01)
Two versions of Phase II attribute+variable (DVMAX) control charts are investigated for monitoring the covariance matrix (Formula presented.) of bivariate processes. Monitoring always starts with an attribute chart employing ...
Monitoring the process mean with an ATTRIVAR chart
(2020-01-01)
In this article, we propose an ATTRIVAR chart to control the process mean. With the ATTRIVAR chart, the sampling is performed in two stages, collecting attribute and variable sample data from the same sample (attribute ...
Gráfico de controle modificado para monitoramento de variância
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Engenharia de Produção - PPGEPCâmpus São Carlos, 2021-09-16)
Control charts are powerful tools used by many industries to monitor the quality of their processes and detect special causes of variation. They are often used to monitor the mean of some process quality characteristic ...
The Trinomial ATTRIVAR control chart
(Elsevier B.V., 2020-06-01)
In this article, we propose the Trinomial - ATTRIVAR (T-ATTRIVAR) control chart where attribute and variable sample data are used to control the process mean. Firstly, two discriminating limits sort the sample items into ...