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 …
their products quality. The control charts are the most widely used and the most effective tool …
The Difficulty in Designing Shewhart X̄ and X Control Charts with Estimated Parameters
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 …
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 …
industries. Statistical process control via control charts provides an online monitoring of the …
An efficient adaptive EWMA control chart for monitoring the process mean
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 …
(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
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 …
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 …
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
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 …
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 …
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 …
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
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 …
Variation (AEWMCV) control chart, designed to address situations where the process mean …