Results 21 to 30 of about 6,021 (172)
Frontiers in Applied Mathematics and Statistics, 2023 When initial sample information falls short of enabling industrial engineers to confidently make decisions about lot quality assessment, repetitive sampling emerges as a solution.
Jose J. Muñoz +2 more
doaj +1 more source
Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget [PDF]
, 2014 Organizations must improve or at least maintain the quality of their products to be competitive in today's market. Thus, developing a new approach which could utilize more information from the production process has become an inevitable quality ...
Ahmad, Siti Azfanizam +4 more
core +1 more source
Statistical methods for monitoring the operation of cathodic protection stations [PDF]
E3S Web of Conferences, 2019 This article is a result of the research on the methods to monitor the operation of cathodic protection stations. This study presents the experimental data analysis of the work of cathodic protection stations was carried out by the transportation company
Gerasina Tatiana +2 more
doaj +1 more source
Novel combined Shewhart-CUmulative EWMA-SUM mean charts without- and with measurement error
Measurement + ControlThe 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 Use of Control Charts To Monitor Air Plane Accidents of the Hellenic Air Force
Revstat Statistical Journal, 2021 Accidents are unfortunate events that cause economic and/or human losses to individuals, organisations, companies or to the society. Air plane accidents cause both economic and human losses most of the times.
Vasileios Alevizakos +2 more
doaj +1 more source
A simple approach for monitoring business service time variation. [PDF]
, 2014 Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data in service industries comes from processes having nonnormal or unknown distributions.
Arnold, Barry C, Yang, Su-Fen
core +3 more sources
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
Data De-Noise for Multivariate T2 and S-Charts Using Multivariate Wavelets
Zanco Journal of Humanity SciencesIn this research, proposed multivariate charts were created corresponding to T2 and S-charts that are robust to noise data by using multivariate wavelet shrinkage, that dealt with the contamination problem before constructing Shewhart charts, through ...
Dler Hussein Kadir +3 more
doaj +1 more source
International Journal of Engineering Materials and Manufacture, 2018 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
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