Results 1 to 10 of about 205,068 (157)

Comparing the performance of Kernel PCA Mix Chart with PCA Mix Chart for monitoring mixed quality characteristics

open access: yesScientific Reports, 2022
Along with the development of information and technology, the quality characteristics of a product cannot be monitored separately in the different types of control charts.
Muhammad Ahsan   +2 more
doaj   +3 more sources

Mixed Control Charts Using EWMA Statistics

open access: yesIEEE Access, 2016
In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution.
Muhammad Aslam   +3 more
doaj   +3 more sources

Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics

open access: yesHeliyon, 2022
The products are commonly measured by two types of quality characteristics. The variable characteristics measure the numerical scale. Meanwhile, the attribute characteristics measure the categorical data.
Muhammad Ahsan   +3 more
doaj   +3 more sources

On designing new mixed modified exponentially weighted moving average - exponentially weighted moving average control chart

open access: yesResults in Engineering, 2023
Control charts are an extremely valuable tool in statistical process control (SPC) for processing information from a system or procedure over time and displaying statistically significant changes in data while also showing how a system or process is ...
Khanittha Talordphop   +2 more
doaj   +3 more sources

Enhanced performance of mixed HWMA-CUSUM charts using auxiliary information.

open access: yesPLoS ONE, 2023
Quality control (QC) is a systematic approach to ensuring that products and services meet customer requirements. It is an essential part of manufacturing and industry, as it helps to improve product quality, customer satisfaction, and profitability ...
Faiza Zubair   +2 more
doaj   +3 more sources

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process

open access: yesScientific Reports
The Max-Mixed EWMA Exponentially Weighted Moving Average (MM EWMA) control chart is a statistical process control technique used for joint monitoring of the mean and variance of a process.
Seher Malik   +6 more
doaj   +2 more sources

On Designing Mixed EWMA Dual-CUSUM Chart With Applications in Petro-Chemical Industry

open access: yesIEEE Access, 2018
In recent times, the trending modification of control chart is a result of its effective application in various aspects of life. In this paper, we propose a new charting scheme called mixed exponentially weighted moving average (EWMA) dual-cumulative sum
Nasir Abbas   +3 more
doaj   +2 more sources

CONTROL CHARTS MONITORING FOR QUALITY CONCRETE PAVEMENTS [PDF]

open access: yesScientific Journal of Silesian University of Technology. Series Transport, 2020
In this article, Control charts are employed to analyse the strength quality control of ready-mixed concrete for rigid pavement. The results of the study support that CUSUM statistical analysis is more sensitive than the Shewhart control chart. The CUSUM
Izabela SKZYPCZAK   +3 more
doaj   +1 more source

Comparative Analysis Between EWMA, DEWMA and Mixed Tukey EWMA Control Chart

open access: yesAcademic Science Journal, 2023
The control chart is a good tool for monitoring. Single and double exponential weighted moving average control charts are suitable charts to detect small shifts in the process parameters.
Kawa M. Jamal Rashid , Sozan S. Haydar
doaj   +1 more source

New modified exponentially weighted moving average-moving average control chart for process monitoring

open access: yesConnection Science, 2022
The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we proposed the modified exponentially weighted moving average - moving average control chart (MMEM), a new mixed control chart for observing ...
Khanittha Talordphop   +2 more
doaj   +1 more source

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