Multivariate statistical process control charts: an overview
S Bersimis, S Psarakis… - Quality and Reliability …, 2007 - Wiley Online Library
In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …
statistical process control via control charting. Furthermore, we review multivariate …
Multivariate control charts for monitoring covariance matrix: a review
AB Yeh, DKJ Lin, RN McGrath - Quality Technology & Quantitative …, 2006 - Taylor & Francis
In this paper, we review multivariate control charts designed for monitoring changes in a
covariance matrix that have been developed in the last 15 years. The focus is on control …
covariance matrix that have been developed in the last 15 years. The focus is on control …
Quantifying signals with power-law correlations: A comparative study of detrended fluctuation analysis and detrended moving average techniques
Detrended fluctuation analysis (DFA) and detrended moving average (DMA) are two scaling
analysis methods designed to quantify correlations in noisy nonstationary signals. We …
analysis methods designed to quantify correlations in noisy nonstationary signals. We …
Distribution-free multivariate process control based on log-linear modeling
P Qiu - IIE Transactions, 2008 - Taylor & Francis
This paper considers Statistical Process Control (SPC) when the process measurement is
multivariate. In the literature, most existing multivariate SPC procedures assume that the in …
multivariate. In the literature, most existing multivariate SPC procedures assume that the in …
Multivariate control charts for monitoring the mean vector and covariance matrix
C Matrix, MR Reynolds Jr, GY Cho - Journal of Quality Technology, 2006 - Taylor & Francis
Multivariate control charts are considered for the simultaneous monitoring of the mean
vector and covariance matrix when the joint distribution of process variables is multivariate …
vector and covariance matrix when the joint distribution of process variables is multivariate …
Adaptive multivariate dispersion control chart with application to bimetal thermostat data
Adaptive EWMA (AEWMA) control charts have gained remarkable recognition by monitoring
productions over a wide range of shifts. The adaptation of computational statistic as per …
productions over a wide range of shifts. The adaptation of computational statistic as per …
A multivariate control chart for simultaneously monitoring process mean and variability
Recently, monitoring the process mean and variability simultaneously for multivariate
processes by using a single control chart has drawn some attention. However, due to the …
processes by using a single control chart has drawn some attention. However, due to the …
A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes
This paper considers adaptive schemes for the simultaneous monitoring of the mean and
variability of a multivariate normal quality characteristic. At first, we extend an already …
variability of a multivariate normal quality characteristic. At first, we extend an already …
A likelihood-ratio-based EWMA control chart for monitoring variability of multivariate normal processes
AB Yeh, L Huwang, YF Wu - IIE Transactions, 2004 - Taylor & Francis
To effectively monitor small changes of variability of multivariate normal processes, a new
control chart is proposed and studied. The proposed control chart is constructed based on …
control chart is proposed and studied. The proposed control chart is constructed based on …
A multivariate EWMA control chart for monitoring process variability with individual observations
AB Yeh, L Huwang, CW Wu - IIE Transactions, 2005 - Taylor & Francis
A control chart is proposed to effectively monitor changes in the population variance-
covariance matrix of a multivariate normal process when individual observations are …
covariance matrix of a multivariate normal process when individual observations are …