Construction of¯X − R control charts using Beta distribution for triangular fuzzy quality

Document Type : Research Paper

Authors

1 Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman

2 Department of Statistics, Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman

3 Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

Abstract

The primary objective of statistical quality control is to ensure that products or services meet predetermined standards while minimizing variation and instability in processes. Control charts are indispensable tools in quality control, playing a crucial role in enhancing and improving process quality. Given their significance, incorporating fuzzy quality into control charts introduces flexibility into product quality assessment. In this paper, we design mean (¯ X) and range (R) control charts based on fuzzy quality, as opposed to traditional crisp or precise quality. We construct quantile-based control charts for the degree of membership of observations to triangular fuzzy quality using parameter estimation in the beta distribution. Specifically, we propose two novel methods for constructing¯ X and R control charts, namely, the method of moments and maximum likelihood estimation, both based on triangular fuzzy quality.

Keywords

Main Subjects

References

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Iranian Journal of Fuzzy Systems
Volume 22, Issue 1
January and February 2025
Pages 49-69

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