Homogeneously weighted moving average control chart with an application in substrate manufacturing process
N Abbas - Computers & Industrial Engineering, 2018 - Elsevier
Cumulative sum and exponentially weighted moving average are also named as memory-
type statistical process control charts for they are good at quickly detecting the presence of …
type statistical process control charts for they are good at quickly detecting the presence of …
Efficient signed-rank based EWMA and HWMA repetitive control charts for monitoring process mean with and without auxiliary information
Control charts are powerful tools to observe the presentation of the manufacturing process.
Mostly, when the data in industries come from the process may follow non-normal or …
Mostly, when the data in industries come from the process may follow non-normal or …
Distribution-free Phase-II monitoring of high-dimensional industrial processes via origin and modified interpoint distance based algorithms
A Tang, A Mukherjee, X Wang - Computers & Industrial Engineering, 2023 - Elsevier
Improvements in measuring devices, the development of sensing technologies, automated
record-kee** and cloud storage facilities have offered us a large volume of data streams …
record-kee** and cloud storage facilities have offered us a large volume of data streams …
On enhanced GLM-based monitoring: an application to additive manufacturing process
Innovations in technology assist the manufacturing processes in producing high-quality
products and, hence, become a greater challenge for quality engineers. Control charts are …
products and, hence, become a greater challenge for quality engineers. Control charts are …
Bootstrap-based maximum multivariate CUSUM control chart
Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts
that plot single statistic as a representation of mean vector and covariance matrix. The Max …
that plot single statistic as a representation of mean vector and covariance matrix. The Max …
[HTML][HTML] A generally weighted moving average control chart for monitoring the coefficient of variation
R Chen, Z Li, J Zhang - Applied Mathematical Modelling, 2019 - Elsevier
This paper proposes a generally weighted moving average control chart with adjusted time-
varying control limits for monitoring the coefficient of variation of a normally distributed …
varying control limits for monitoring the coefficient of variation of a normally distributed …
On designing distribution-free homogeneously weighted moving average control charts
There are many practical situations in which the underlying process distribution is either
completely unknown or partially known but deviates from normality. In such cases, the …
completely unknown or partially known but deviates from normality. In such cases, the …
A Cramér-von Mises test-based distribution-free control chart for joint monitoring of location and scale
J Zhang, E Li, Z Li - Computers & Industrial Engineering, 2017 - Elsevier
This paper proposes a new distribution-free control chart by integrating the powerful
nonparametric two-sample Cramér-von Mises test and the exponentially weighted moving …
nonparametric two-sample Cramér-von Mises test and the exponentially weighted moving …
A non-parametric CUSUM control chart for process distribution change detection and change type diagnosis
S Hou, K Yu - International Journal of Production Research, 2021 - Taylor & Francis
Non-parametric control charts have been good alternatives to parametric control charts
when little information is known about the type of process distribution or the value of …
when little information is known about the type of process distribution or the value of …
A robust alternate to the HEWMA control chart under non-normality
In practice, a hybrid exponentially weighted moving average (HEWMA) control chart for
monitoring the process mean based on the normality assumption. The performance of …
monitoring the process mean based on the normality assumption. The performance of …