A primary objective of statistical process control (SPC) is to maintain quality characteristics of items generated by a process as close as possible to target values for as much time, or amount of production, as possible. Customers view point and expectation has changed significantly in the past few years. Customers now do not merely expect the products to be “within specification limits”. They expect, rightly so, the products to be “on target of ” aiming to be within specification” becomes less and less relevant. So SPC can help companies cut costs, improve quality, and pursue continuous improvement and also satisfy the customers. To move towards the achievement of this objective a methodology has been represented in this research paper. This proposed methodology has been applied in real case study of manufacturing environments. As this methodology has been applied first time in manufacturing industry, so results obtained were not satisfactory. Because the factory has never been applied statistical techniques for controlling the process, even they are not taking the significant advantages from the data collected. However, if they continuously applied this proposed methodology certainly will bring continuous improvements in their manufacturing process.