Using Statistical Approaches for Correcting Manufacturing Faults Soft Drinking Water Process as Example

Statistical process control (SPC) is a powerful tool that enables manufacturers to monitor and regulate their production processes to ensure that they are functioning within acceptable parameters. By collecting data from the manufacturing process and analyzing it using statistical methods, SPC can identify potential issues before they become major problems. This allows manufacturers to take corrective action promptly, preventing costly downtime and product defects. Furthermore, SPC can help manufacturers identify trends in the production process that could lead to future issues. By understanding these trends, manufacturers can take proactive measures to prevent them from occurring in the first place. In this study, we utilized General factorial design by Minitab software to correct level faults that occurred during soft drink filling under three factors: percent of carbonation, pressure of drink, and line speed. All results were discussed based on the P-Value indicator.