Results 11 to 20 of about 4,537 (202)

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

Scientific 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, Muhammad Hanif, Muhammad Noor-ul-Amin, Imad Khan, Bakhtiyar Ahmad, Abdelgalal O. I. Abaker, Jumanah Ahmed Darwish   +6 more
doaj   +2 more sources

Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory [PDF]

Scientific Reports
The simultaneous monitoring of both process mean and dispersion, particularly in normal processes, has garnered significant attention within the field.
Muhammad Noor-ul-Amin, Imad Khan, Javed Iqbal, Zahid Rasheed, Emad A. A. Ismail, Bakhtyar Ahmad   +5 more
doaj   +2 more sources

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

Scientific 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, Muhammad Noor-ul-Amin, Imad Khan, Javed Iqbal, Saddam Hussain   +4 more
doaj   +2 more sources

Memory type Bayesian adaptive max-EWMA control chart for weibull processes [PDF]

Scientific Reports
The simultaneous monitoring of both the process mean and dispersion has gained considerable attention in statistical process control, especially when the process follows the normal distribution.
Abdullah A. Zaagan, Imad Khan, Amel Ayari-Akkari, Aamir Raza, Bakhtiyar Ahmad   +4 more
doaj   +2 more sources

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

Scientific 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, Imad Khan, Abdulrahman Obaid Alshammari, Hadeel AlQadi, Wojciech Sumelka   +4 more
doaj   +2 more sources

Considering AEWMA control chart applied to Gamma-distributed data with fixed and variable sampling intervals [PDF]

Scientific Reports
Control charts are widely used in manufacturing and quality management to monitor process variability. Although easy to implement, the Shewhart control chart lacks sensitivity to small process shifts.
Shin-Li Lu, Meng-Chiao Chen, Jen-Hsiang Chen, Su-Fen Yang, Kashinath Chatterjee   +4 more
doaj   +2 more sources

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

Scientific 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, Maysaa Elmahi Abd Elwahab, Muhammad Nabi   +2 more
doaj   +2 more sources

Explicit analytical solutions for the average run length of modified EWMA control chart for ARX(p,r) processes [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2021
Statistical process control (SPC) plays a necessary role in manufacturing industry processes. An essential tool for SPC used for monitoring, measuring, controlling, and improving quality in various fields is the control chart.
Korakoch Silpakob, Yupaporn Areepong, Saowanit Sukparungsee, Rapin Sunthornwat   +3 more
doaj   +1 more source

A synthetic exponentially weighted moving average control chart to monitor process median based on ranked set sampling [PDF]

ITM Web of Conferences, 2021
Exponentially Weighted Moving Average (EWMA) control charts yield insights into data in a way more comprehensible to the practitioners and researchers because of its capability in discovering small to moderate process mean shifts.
Ng Jing Wen, Wong Voon Hee, Pang Sook Theng   +2 more
doaj   +1 more source

Statistical Design for Monitoring Process Mean of a Modified EWMA Control Chart based on Autocorrelated Data

Walailak Journal of Science and Technology, 2021
From the principles of statistical process control, the observations are assumed to be identically and independently normally distributed, although this assumption is frequently untrue in practice.
Yadpirun SUPHARAKONSAKUN
doaj   +3 more sources