Statistical Process Control (SPC)

This 2-day course provides practical skills in Statistical Process Control (SPC) to monitor and improve process quality. Designed for quality professionals, engineers, and managers, it equips participants with tools to ensure process stability and consistency.

Statistical Process Control (SPC) is a data-driven methodology for monitoring, controlling, and improving process quality in industries like manufacturing, services, and logistics. Statistical Process Control (SPC) is a 2-day course designed to equip professionals with the skills to apply SPC techniques effectively. The course covers control charts, process capability analysis, variation analysis, and corrective actions, tailored to quality assurance and process improvement.

Participants will learn to create and interpret control charts, measure process capability (Cp, Cok), and identify sources of variation. The course addresses challenges like data collection, misinterpretation, and process instability, providing strategies to maintain consistent quality. It emphasizes statistical tools like histograms, Pareto charts, and run charts to support decision-making.

The course is ideal for professionals seeking to reduce defects, improve quality, and ensure process reliability.

By the end, attendees will be equipped to implement SPC, monitor process performance, and drive quality improvements, contributing to operational excellence.