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 …

Integration of hybrid score functions to design new adaptive EWMA control chart to monitor the process mean shift

B Zaman, SZ Mahfooz, N Khan, M Riaz… - Computers & Industrial …, 2023 - Elsevier
Small-to-moderate shifts in the process parameters can be detected using the traditional
Exponentially Weighted Moving Average (EWMA) control chart. The classical EWMA control …

A double homogeneously weighted moving average control chart for monitoring of the process mean

M Abid, A Shabbir, HZ Nazir… - Quality and Reliability …, 2020 - Wiley Online Library
In the service and manufacturing industry, memory‐type control charts are extensively
applied for monitoring the production process. These types of charts have the ability to …

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 multivariate dispersion control chart with application to bimetal thermostat data

M Noor-ul-Amin, MA Sarwar, W Emam, Y Tashkandy… - Scientific Reports, 2023 - nature.com
Adaptive EWMA (AEWMA) control charts have gained remarkable recognition by monitoring
productions over a wide range of shifts. The adaptation of computational statistic as per …

An adaptive EWMA control chart based on Hampel function to monitor the process location parameter

B Zaman, SZ Mahfooz, R Mehmood… - Quality and …, 2023 - Wiley Online Library
Abstract The classical memory Exponential Weighted Moving Average (EWMA) and
Cumulative Sum (CUSUM) control charts (CCs) are important to detect small‐to‐moderate …

An enhanced double homogeneously weighted moving average control chart to monitor process location with application in automobile field

SM Anwar, M Aslam, B Zaman… - Quality and Reliability …, 2022 - Wiley Online Library
The memory control charts, including cumulative sum (CUSUM) and exponentially weighted
moving average (EWMA) control charts, are widely used to monitor small‐to‐moderate shifts …

Monitoring the process mean under the Bayesian approach with application to hard bake process

I Khan, M Noor-ul-Amin, DM Khan, EAA Ismail… - Scientific Reports, 2023 - nature.com
This study introduces the Bayesian adaptive exponentially weighted moving average
(AEWMA) control chart within the framework of measurement error, examining two separate …

Monitoring of semiconductor manufacturing process on Bayesian AEWMA control chart under paired ranked set sampling schemes

Y Wang, I Khan, M Noor-ul-Amin, SA AlQahtani… - Scientific Reports, 2023 - nature.com
Quality control often employs memory-type control charts, including the exponentially
weighted moving average (EWMA) and Shewhart control charts, to identify shifts in the …

Integration of Bayesian adaptive exponentially weighted moving average control chart and paired ranked-based sampling for enhanced semiconductor manufacturing …

B Liu, M Noor-ul-Amin, I Khan, EAA Ismail, FA Awwad - Processes, 2023 - mdpi.com
Exponentially weighted moving average (EWMA) and Shewhart control charts are
commonly utilized to detect the small to moderate and large shifts in the process mean …