Statistical Process Control

Using statistical methods to monitor and control process performance

Course Overview

This course provides learners with an understanding of Statistical Process Control and how control charts are used to monitor process stability and detect signals of change. Learners will explore common and special cause variation, control chart types, process capability analysis and the use of SPC in continuous improvement. The course is suitable for quality professionals, engineers and anyone involved in process monitoring.

Learning Outcomes

• Understand the principles of Statistical Process Control
• Distinguish between common cause and special cause variation
• Select the appropriate control chart for different data types
• Construct and interpret Xbar-R, Xbar-S, p, np, c and u charts
• Apply Western Electric rules to detect out-of-control signals
• Calculate and interpret process capability indices Cp and Cpk
• Use SPC data to drive process improvement

Course Structure (5 topics, 20 lessons)