What is the main goal of measuring and tracking processes in Statistical Process Control?

The main goal of measuring and tracking processes in Statistical Process Control (SPC) is to maintain consistent quality. SPC utilizes statistical methods to monitor and control processes, ensuring that they operate at their full potential while producing conforming product. By continuously measuring process performance and identifying variations, organizations can take corrective actions before defects occur, thereby ensuring product quality remains stable over time.

In addition, SPC helps in understanding the process variability and achieving a state where the process is predictable and consistent. This focus on quality not only reduces waste and rework but also enhances customer satisfaction through reliable products.

While reducing employee workload, improving product delivery times, and increasing production volume can be outcomes of effective SPC implementation, they are not the primary goal. The foremost objective remains the maintenance and enhancement of product quality through systematic data-driven process monitoring.