Results 31 to 40 of about 6,512 (216)
Novel combined Shewhart-CUmulative EWMA-SUM mean charts without- and with measurement error
The precision of process monitoring often encounters challenges in determining the exact shift size. Therefore, combined control charts have gained considerable attention because of their excellent speed to detect simultaneously small-to-moderate and ...
Tahir Munir +5 more
doaj +1 more source
The response surface methodology (RSM) and Shewhart control charts have been widely used in manufacturing to reduce variation, improve quality and optimize the output.
Ahmed Maged +4 more
doaj +1 more source
A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation
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
Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes
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
A Simultaneous control chart is a well-known tool for monitoring the process mean and process variability with a single chart. In recent decades, many researchers have been interested in developing simultaneous control charts.
Rumaisa Kruba +2 more
doaj +1 more source
ABSTRACT Artificial intelligence (AI) brings great potential for manufacturers, but clashes with the established culture due to the unexplainable and opaque nature of the solutions it provides. Having little experience in AI and machine learning (ML), most manufacturing leaders experience barriers implementing AI.
Benjamin van Giffen +5 more
wiley +1 more source
The Inverse Gaussian distribution (IGD) is a probability distribution with several applications in various fields. The proposed study is prone to consider the problem of monitoring the shape parameter of IGD using the Bayesian method.
Tahir Abbas +3 more
doaj +1 more source
Cost comparisons of modified X̅ chart for autocorrelated observations
This paper presents the economic design of modified X̅ chart for autocorrelated data and comparison with the economic design of Shewhart’s X̅ chart.
Prajapati D. R.
doaj +1 more source
STATISTICAL CONTROL OF THE PROCESS APPLIED TO THE MONITORING OF THE WATER QUALITY INDEX [PDF]
Analyzing the physical-chemical and biological characteristics allows the evaluation of the water quality of a water body. Thus, the objective of this study was to determine the water quality index of the Passaúna and Piraquara rivers, as well as to ...
Ketllin Z. da Conceição +4 more
doaj +1 more source
Univariate and multivariate control charts for monitoring sugar production process [PDF]
Quality control is a system to maintain quality of product or service to achieve specification standard of product. One of the most powerful tools is through graphical method which is control chart.
Mohamad, Ismail, Sutirman, Zetty Azrah
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