This paper introduces a case study methodology to decrease variability in quality measures and optimise control parameters in a cement-bags company. A lack of supervision is observed in the company which gives a negative impact on quality by increasing the number of defective bags with time without taking any action. The statistical process control (SPC) techniques, process capability measures, and analysis of variance (ANOVA) are used to reduce the high variability in production and the defective bag ratio. Moreover, an approach is developed to find and eliminate the resulted causes of variation in the production process. Multiple linear regression analysis is conducted for each variable characteristic to determine the best working conditions by which the production process improves.