Understanding and Implementing Statistical Process Control

What will I learn?

• Learn proven questioning techniques and develop clear operational definitions for effective SPC implementation.
• Understand how SPC connects to core tools (MSA, FMEA, APQP) and supports IATF 16949 requirements.
• Identify sources of variation and distinguish between normal and non-normal variation.
• Differentiate prevention from detection and understand their impact on the Cost of Poor Quality (CoPQ).
• Explore SPC tools and determine appropriate use for both variable and attribute data.
• Learn best practices for responding to out-of-control conditions to ensure effective SPC execution.
• Calculate and interpret key process capability indices such as CpK and PpK.
• Apply SPC principles directly to manufacturing processes.
• Use software to calculate control limits and integrate measurement study data into process controls.
• Gain confidence in SPC by performing step-by-step calculations and interpretations using the AIAG SPC manual.

Who should attend?

This training is ideal for quality managers, team leaders, manufacturing managers and technicians, quality assurance and lab personnel, engineers, and anyone involved in implementing IATF 16949:2016. It's also valuable for cross-functional teams focused on risk reduction or those seeking a stronger understanding of SPC.