Performance of Bayesian EWMA control chart with measurement error under ranked set sampling schemes with application in industrial engineering

Y Wang, I Khan, M Noor-ul-Amin, A Javaid, DM Khan… - Scientific Reports, 2023 - nature.com
The objective of this study is to investigate the behavior of the Bayesian exponentially
weighted moving average (EWMA) control chart in the presence of measurement error (ME) …

[HTML][HTML] Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks

SA Saad, I Shayea, NMOS Ahmed - Alexandria Engineering Journal, 2024 - Elsevier
Ensuring reliable and stable communication links between User Equipment (UE) and
serving cellular networks during UE movement is one of the significant difficulties facing the …

Monitoring autocorrelated compositional data vectors using an enhanced residuals hotelling T2 control chart

FS Zaidi, HL Dai, M Imran, KP Tran - Computers & Industrial Engineering, 2023 - Elsevier
The most prevalent use of multivariate statistical process monitoring (SPM) is in the
production industries. In SPM, data are usually assumed to be uncorrelated in both …

[HTML][HTML] Monitoring and Interpretation of Process Variability Generated from the Integration of the Multivariate Cumulative Sum Control Chart and Artificial Intelligence

EA Ruelas-Santoyo, V Figueroa-Fernández… - Applied Sciences, 2024 - mdpi.com
Variability in manufacturing processes must be properly monitored and controlled to avoid
incurring quality problems; otherwise, the probability of manufacturing defective products …

Monitoring the Ratio of Two Normal Variables and Compositional Data: A Literature Review and Perspective

TT van Nguyen, TH Nguyen, KD Tran, C Heuchenne… - 2023 - hal.science
The ratio of two normal variables and compositional Data (CoDa) are two common types of
process data in industrial and manufacturing applications. Control charts are powerful tools …