Adaptive control charts: recent developments and extensions

S Psarakis - Quality and Reliability Engineering International, 2015 - Wiley Online Library
Statistical quality control is a very useful tool in the hands of business in order to improve
their products quality. The control charts are the most widely used and the most effective tool …

The Difficulty in Designing Shewhart and X Control Charts with Estimated Parameters

NA Saleh, MA Mahmoud, MJ Keefe… - Journal of Quality …, 2015 - Taylor & Francis
The performance of the Shewhart X̄ control chart with estimated in-control parameters has
been discussed a number of times in the literature. Previous studies showed that at least …

A survey on multivariate adaptive control charts: Recent developments and extensions

T Perdikis, S Psarakis - Quality and Reliability Engineering …, 2019 - Wiley Online Library
In the world of business, quality improvement is of high importance for the manufacturing
industries. Statistical process control via control charts provides an online monitoring of the …

An efficient adaptive EWMA control chart for monitoring the process mean

A Haq, R Gulzar, MBC Khoo - Quality and Reliability …, 2018 - Wiley Online Library
In recent years, the memory‐type control charts—exponentially weighted moving average
(EWMA) and cumulative sum (CUSUM)—along with the adaptive and dual control‐charting …

Adaptive EWMA control chart using Bayesian approach under ranked set sampling schemes with application to Hard Bake process

I Khan, M Noor-ul-Amin, DM Khan, SA AlQahtani… - Scientific Reports, 2023 - nature.com
The memory-type control charts, such as cumulative sum (CUSUM) and exponentially
weighted moving average control chart, are more desirable for detecting a small or …

Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length

A Tang, P Castagliola, J Sun, X Hu - Quality Technology & …, 2019 - Taylor & Francis
Abstract The Adaptive Exponentially Weighted Moving Average (AEWMA) chart, which
combines the Shewhart and classical EWMA schemes, is usually designed using the …

New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation

A Haq, MBC Khoo - Computers & Industrial Engineering, 2019 - Elsevier
The coefficient of variation (CV), a measure of relative variability, is an important quality
control issue worthy of consideration in some manufacturing and service-oriented …

Guaranteed conditional performance of the S2 control chart with estimated parameters

A Faraz, WH Woodall, C Heuchenne - International Journal of …, 2015 - Taylor & Francis
We evaluate the in-control performance of the S 2 control chart with estimated parameters
conditional on the Phase I sample. Simulation results indicate no realistic amount of Phase I …

An adaptive EWMA control chart for monitoring the process mean in Bayesian theory under different loss functions

M Noor‐ul‐Amin, S Noor - Quality and Reliability Engineering …, 2021 - Wiley Online Library
The Shewhart control chart is used for detecting the large shift and an exponentially
weighted moving average (EWMA) control chart is used for detecting the small/moderate …

Adaptive EWMA control chart for monitoring the coefficient of variation under ranked set sampling schemes

A Riaz, M Noor-ul-Amin, W Emam, Y Tashkandy… - Scientific Reports, 2023 - nature.com
In this study, we introduce an Adaptive Exponentially Weighted Moving based Coefficient of
Variation (AEWMCV) control chart, designed to address situations where the process mean …