Results 41 to 50 of about 4,509 (203)

An adaptive multivariate functional EWMA control chart

Journal of Quality Technology
In many modern industrial scenarios, the measurements of the quality characteristics of interest are often required to be represented as functional data or profiles. This motivates the growing interest in extending traditional univariate statistical process monitoring (SPM) schemes to the functional data setting. This article proposes a new SPM scheme,
Capezza, Christian, Capizzi, Giovanna, Centofanti, Fabio, Lepore, Antonio, Palumbo, Biagio   +4 more
openaire   +3 more sources

Nonparametric Double EWMA Control Chart for Process Monitoring

Revista Colombiana de Estadística, 2016
<p>In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical sit- uations, we may not know the distributional behavior of the data, and hence, the need arises use nonparametric techniques.
RIAZ, MUHAMMAD, ABBASI, SADDAM AKBER
openaire   +5 more sources

MAXIMUM EXPONENTIALLY WEIGHTED MOVING AVERAGE WITH MEASUREMENT ERROR (USING COVARIATE METHOD) USING AUXILIARY INFORMATION FOR CEMENT QUALITY CONTROL

Barekeng
The main quality characteristic at XYZ Inc. that should be observed is Compressive Strength. Cement production quality control is carried out on the average and process variability jointly with the Max-EWMA control chart.
Eirene Christina Sellyra, Muhammad Ahsan, Wibawati Wibawati   +2 more
doaj   +1 more source

Analytical and numerical solutions of average run length integral equations for an EWMA control chart over a long memory SARFIMA process [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2018
The efficiency of a process, especially a long memory seasonal autoregressive fractional integral moving average (SARFIMA) process, has commonly been measured through the quality control chart.
Rapin Sunthornwat, Yupaporn Areepong, Saowanit Sukparungsee   +2 more
doaj   +1 more source

Robust point location estimators for the EWMA control chart [PDF]

Quality Technology & Quantitative Management, 2016
In practice, the EWMA control chart for process monitoring is based on parameters estimated from a retrospective data set representing the process characteristic under study. This data set may contain contaminated observations, which in turn can affect the estimates and hence the control chart’s performance.
Zwetsloot, I.M., Schoonhoven, M., Does, R.J.M.M.   +2 more
openaire   +2 more sources

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley   +1 more source

COMPARISON OF EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART WITH HOMOGENEOUSLY WEIGHTED MOVING AVERAGE CONTROL CHARTS AND ITS APPLICATION

Barekeng
The Exponentially Weighted Moving Average (EWMA) control chart is a widely used memory-type control chart known for detecting small shifts in process means.
Erna Tri Herdiani, Mustabsyirah Mustabsyirah   +1 more
doaj   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

Multivariate control charts based on Bayesian state space models

, 2006
This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen, Ameen, Bersimis, Borror, Box, Brown, Chatfield, Cheng, Costa, de Magalhães, del Castillo, Deming, Durbin, Dyer, Goodwin, Gupta, Harris, Jiang, Kalgonda, Kourti, Liu, Lowry, Maravelakis, Mason, Montgomery, Montgomery, Noorossana, Pan, Pan, Salvador, Schmid, Schmid, Shiau, Sullivan, Surtihadi, Tagaras, Tagaras, Tracy, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, VanBrackle, Vargas, Vasilopoulos, Watkins, West, Ye, Yeh, Yeh   +49 more
core   +1 more source

Machine Learning‐Based Risk‐Adjusted CUSUM Control Chart for Monitoring Readmission Rate Following PTBD Catheter Placement

Quality and Reliability Engineering International, Volume 42, Issue 3, Page 933-949, April 2026.
ABSTRACT Percutaneous transhepatic biliary drainage (PTBD) catheter placement is known to have a high readmission rate. This work focuses on monitoring the change in readmission rate after a new clinical paradigm for post‐procedural care is implemented for the PTBD procedures.
Muhammed Aljifri, Yanjun Qian, Kunal Patel   +2 more
wiley   +1 more source