article Open Access
Moderate distribution with six sigma control chart for range
International Journal of Statistics and Applied Mathematics · 2022 · Vol. 7(1) · pp. 122–127
MR Pavithra✉(Periyar University)P Balamurugan(Periyar University)
Abstract
Fuzzy set theory is a powerful mathematical tool for evaluating the vagueness-related uncertainty that can be expressed linguistically in certain situations. Control charts are the most effective and unobtrusive way of statistical process control. Many times, data is gathered in quantitative form; nevertheless, there are many qualitative aspects that cannot be stated numerically, such as appearance, smoothness, and colour, among others. In this research, we develop a six sigma-based fuzzy control limit for a range with a moderate distribution.
Advanced Statistical Process MonitoringOptimal Experimental Design MethodsVaguenessControl chartSmoothnessRange (aeronautics)SigmaStatistical process controlSix SigmaFuzzy logicComputer scienceLimit (mathematics)
Citations
0
FWCI
0.00
field-weighted impact
References
11
Percentile
11%
vs. same field & year
References
Economic Control of Quality of Manufactured Product.
Journal of the American Statistical Association · 1932 · 3,097 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
