What is the purpose of SPC in quality management?

The purpose of Statistical Process Control (SPC) in quality management is to monitor and eliminate variability in processes. By using statistical methods, organizations can track performance over time and identify any variations that deviate from the established standards. This ongoing monitoring allows teams to understand process behavior and make informed decisions to improve quality and efficiency.

SPC involves tools like control charts that visually display data points over time, making it easier to detect trends, shifts, or anomalies that may indicate potential quality issues. By identifying and understanding the sources of variability, companies can implement corrective actions, leading to more consistent outputs and ultimately, greater product quality. This proactive approach helps in minimizing defects, reducing waste, and ensuring that processes operate within acceptable limits.

In contrast, increasing production speed, maximizing resource duplication, and balancing team workloads do not address the primary goal of SPC, which is focused specifically on managing and improving quality by controlling variability in processes.