Analyzing Process Stability and Quality Trends in Beverage Production: An I-Chart and Regression Approach at Al-Nada Factory, Libya

Abstract

This research presents an applied study aimed at analyzing the production quality at the Al-Nada Soft Drinks Factory in Libya by controlling the production process using statistical and quality control tools. Quality control is essential to ensuring product consistency and reliability according to specifications. Statistical quality control (SQC) focuses on the use of statistical tools such as the I-Chart to analyze process performance, detect abnormal changes, and predict future patterns, helping to improve quality and anticipate problems before they occur. Actual data taken from a glass-bottled soft drink production line was analyzed, focusing on three key properties: Brix, gas pressure (CO₂), and PH. An i-chart was used to analyze the central tendency of the data, and simple linear regression was employed to estimate the time trend for each characteristic. Conclusions showed that combining statistical control with technical control is an effective approach to stabilizing and improving the quality of the final product, enhancing the factory's competitiveness in local and international markets.