Results 41 to 50 of about 4,537 (202)
Triple exponentially weighted moving average control chart with measurement error
Scientific Reports, 2023 Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics.
Jing Wang +4 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. +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
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
BarekengThe 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 +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 +2 more
doaj +1 more source
Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes
Quality and Reliability Engineering International, EarlyView.ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke +2 more
wiley +1 more source
BarekengThe 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 +1 more
doaj +1 more source
A Time Truncated Moving Average Chart for the Weibull Distribution [PDF]
, 2017 A control chart of monitoring the number of failures is proposed with a moving average scheme, when the life of an item follows a Weibull distribution.
Alghamdi, S.A.D. +3 more
core +1 more source
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 +2 more
wiley +1 more source