Improvement of flat glass quality based on statistical analysis of production process monitoring data

The study of monitoring data for the production of flat glass using the methods of dispersion and regression analyzes, which allows to identify the reasons for the decline in quality and the appearance of defects, to establish cause-and-effect relationships between technological factors and indicators of product quality. The efficiency of the use of the technique is shown on the example of the analysis of waste from annealing of sheet glass.