Abstract
A multivariate control chart is measured by many variables that are correlated in production, using the quality characteristics in any product. In this paper, statistical procedures were employed to find the multivariate quality control chart by utilizing fuzzy Hotelling test. The procedure utilizes the triangular membership function to treat the real data, which were collected from Baghdad Soft Drinks Company in Iraq. The quality of production was evaluated by using a new method of the ranking function.
Highlights
1- Introduction Control Chart is one of the statistical procedures, which is used to monitor the production process and determine whether it is subjected to specifications of quality control or not, since the units produced differ in quality
Control chart is one of the most common statistical methods used in terms of monitoring the changes that occur during the stages of production process
The goal of this research is carrying out the fuzzy Hotelling technique utilizing the triangular membership function, using a new ranking function to find the Hotelling
Summary
1- Introduction Control Chart is one of the statistical procedures, which is used to monitor the production process and determine whether it is subjected to specifications of quality control or not, since the units produced differ in quality. Hotelling (1947) used the multivariable method of controlling product quality by taking the relationship between variables [1]. Control chart is one of the most common statistical methods used in terms of monitoring the changes that occur during the stages of production process.
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