Statistical Process Control

Statistical Process Control (SPC) is a practical engineering and quality-management course designed to help professionals monitor, control, and improve manufacturing and business processes using statistical techniques. The course introduces the fundamentals of process variation and explains the difference between common-cause and special-cause variation. Participants learn how to collect, organize, and analyze process data for effective decision-making. The course covers control charts and their application for monitoring process stability over time. Participants understand how to select appropriate control charts for variables and attributes data. Practical methods for calculating process capability and interpreting Cp, Cpk, Pp, and Ppk are also covered. The course explains how SPC can be integrated with quality improvement and continuous improvement initiatives. Participants learn to identify process trends, shifts, patterns, and out-of-control conditions. Real-world examples and practical exercises help participants apply SPC techniques to manufacturing and engineering processes. By completing the course, participants develop the skills needed to use statistical data for process control, defect reduction, and quality improvement.