Fuzzy Statistical Process Control of a Calcite Grinding Plant Using Total Color Difference Parameter (ΔE)

Abstract

Statistical process control (SPC) is one of the important approaches used in quality management. SPC can be applied in plants to obtain good quality and high standard products that have become very popular in many industries. Fuzzy process capability analysis by using X-R control charts gives more realistic results, developed with fuzzy theory. Fuzzy control charts are more sensitive than SPC. Therefore, fuzzy control charts lead to producing better-quality products. In this study, total color difference parameter (ΔE) was studied using fuzzy observation on a calcite grinding plant products. For this purpose, color parameters of the grinding plant products were evaluated using triangular fuzzy number (TFN) and fuzzy process capability indices (PCIs). The results show that the mill plant seems to be under control. Therefore, on a randomly selected sample used in the fuzzy statistical process control work was chosen and other color parameters such as whiteness index (WI), saturation index (SI), hue angle (H), browning index (BI) and yellowness index (YI) and particle size properties, XRF, XRD, FTIR, TGA-DTA and SEM were then determined on the calcite sample.