Which methodology focuses on reducing process variability in Six Sigma?

The focus on reducing process variability is a hallmark of Statistical Process Control (SPC) within Six Sigma methodology. SPC utilizes statistical methods to monitor and control a process to ensure it operates at its full potential by identifying and eliminating causes of variation. By measuring the performance of a process over time, SPC helps teams to distinguish between common cause variation, which is inherent to a process, and special cause variation, which arises from specific circumstances. This understanding allows for targeted interventions to improve stability and consistency in process performance.

In contrast, Lean focuses more on eliminating waste and improving flow, while Total Quality Management encompasses a broader philosophy of long-term success through customer satisfaction and organizational culture. Continuous Improvement is an ongoing effort to enhance products, services, or processes, but it does not specifically emphasize the statistical aspect of reducing process variability. Thus, while all methodologies contribute to quality management and improvement, Statistical Process Control stands out for its specific application in reducing process variability.