What is one method to apply for measuring and tracking production quality?

Statistical Process Control (SPC) is a method that focuses on using statistical techniques to monitor and control a process. By applying SPC, manufacturers can ensure that their production processes operate at their full potential, producing the best quality products with minimal waste. This involves collecting data from the production process, analyzing it using various statistical methods, and using control charts to visualize this data.

SPC helps identify variations that may indicate potential problems with the production process, allowing teams to take corrective actions before defects occur. This proactive approach not only enhances product quality but also improves overall efficiency within the manufacturing process. By maintaining tighter control over process variations, companies can better meet quality standards, reduce rework, and lower costs associated with scrap and defects.

In contrast, other options, while relevant to quality management, serve different roles. Lean Six Sigma combines lean manufacturing principles with Six Sigma to eliminate waste and reduce variability, but it is broader in scope than just measuring and tracking production quality. Total Quality Management focuses on embedding quality in every aspect of an organization, making it a holistic approach rather than a direct method for measurement. Finally, Quality Function Deployment is a technique used to transform customer needs into engineering characteristics, which aids in product development rather than tracking production quality directly.