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Development of a VSS-EWMA chart for coefficient of variation with application to production process [PDF]

open access: yesScientific Reports
This study introduces a novel Variable Sample Size Exponentially Weighted Moving Average (VSS-EWMA) control chart for monitoring the coefficient of variation, termed as Dynamic Adaptive CV (DACV) chart. Tailored for dynamic production settings where both
Amna Safeer   +2 more
doaj   +2 more sources

A machine learning assisted truncated adaptive EWMA chart for robust process monitoring [PDF]

open access: yesScientific Reports
The classical memory-type control charts, Adaptive EWMA (AE) and Truncated Adaptive EWMA (TAE) are chart types whose analytical properties are traditionally derived under normality assumptions, although they can be applied to non-normal data and operate ...
Abdullah A. Zaagan   +3 more
doaj   +2 more sources

Comparative Analysis Between EWMA, DEWMA and Mixed Tukey EWMA Control Chart

open access: yesAcademic Science Journal, 2023
The control chart is a good tool for monitoring. Single and double exponential weighted moving average control charts are suitable charts to detect small shifts in the process parameters.
Kawa M. Jamal Rashid , Sozan S. Haydar
doaj   +2 more sources

Monitoring air quality index with EWMA and individual charts using XGBoost and SVR residuals [PDF]

open access: yesMethodsX
PM2.5 air pollution poses significant health risks, particularly in urban areas such as Jakarta, where concentrations frequently surpass acceptable levels due to rapid urbanization.
Zulfani Alfasanah   +4 more
doaj   +2 more sources

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process [PDF]

open access: yesScientific Reports
The Max-Mixed EWMA Exponentially Weighted Moving Average (MM EWMA) control chart is a statistical process control technique used for joint monitoring of the mean and variance of a process.
Seher Malik   +6 more
doaj   +2 more sources

Adaptive VSS-EWMA control chart for monitoring the process dispersion [PDF]

open access: yesScientific Reports
Effectively monitoring process dispersion is critical in ensuring high-quality production in various industrial sectors. This study presents an innovative approach by developing a Dynamic Exponentially Weighted Moving Average (EWMA) control chart with a ...
Abdullah Ali H. Ahmadini   +4 more
doaj   +2 more sources

A nonparametric mixed exponentially weighted moving average-moving average control chart with an application to gas turbines. [PDF]

open access: yesPLoS ONE
This study aims to develop a nonparametric mixed exponentially weighted moving average-moving average (NPEWMA-MA) sign control chart for monitoring shifts in process location, particularly when the distribution of a critical quality characteristic is ...
Muhammad Ali Raza   +5 more
doaj   +2 more sources

New extended exponentially weighted moving average control chart for monitoring process mean [PDF]

open access: yesHeliyon
In this article, we develop a new control chart based on the Exponentially Weighted Moving Average (EWMA) statistic, termed the New Extended Exponentially Weighted Moving Average (NEEWMA) statistic, designed to recognize slight changes in the process ...
Hina Javed, Muhammad Ismail, Nadia Saeed
doaj   +2 more sources

MAX-EWMA CHART FOR AUTOCORRELATED PROCESSES (MEWMAP CHART)

open access: yesSouth African Journal of Industrial Engineering, 2012
<p>ENGLISH ABSTRACT: This paper proposes an exponentially weighted moving average (EWMA) control chart that is capable of detecting changes in both process mean and standard deviation for autocorrelated data (referred to as the Maximum ...
K. Thaga, V.S.S. Yadavalli
doaj   +3 more sources

An adaptive Bayesian approach for improved sensitivity in joint monitoring of mean and variance using Max-EWMA control chart [PDF]

open access: yesScientific Reports
This article introduces an adaptive approach within the Bayesian Max-EWMA control chart framework. Various Bayesian loss functions were used to jointly monitor process deviations from the mean and variance of normally distributed processes.
Abdullah A. Zaagan   +4 more
doaj   +2 more sources

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