Percentile-based X̄ and R control charts for triangular fuzzy quality.

Autor: Parchami, A., Amirzadeh, V., Iranmanesh, H., Ghaderi, F.
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Zdroj: Iranian Journal of Fuzzy Systems; May/Jun2024, Vol. 21 Issue 3, p91-101, 11p
Abstrakt: Process monitoring using control charts is a common quality control method to plot the manufacturing process data and compare it to the control limits in the manufacturing process. Construction of the statistical control charts is recently suggested on the basis of the flexible triangular fuzzy quality rather than common interval-valued quality. Two new percentile-based approaches are investigated in this paper to construct mean and range control charts for the degree of belonging observations to the triangular fuzzy quality. A real-world case study about automobile engine piston rings is presented to show the performance of the proposed control charts. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index