Overview

Statistical Quality Control (SQC) is a powerful methodology for using data to manage, monitor, and enhance quality in manufacturing and service environments. This course provides in-depth training on key statistical techniques used to detect and address process variability, minimize defects, and ensure consistent output quality.

Participants will explore:

• The role of control charts in identifying process stability and detecting variation.

• Process capability analysis to determine how well a process meets specifications.

• Application of hypothesis testing for quality decisions and root cause analysis.

• Interpretation of statistical data to guide quality improvement initiatives.

With a focus on real-world applications, the course equips professionals with the tools to make informed, data-backed decisions that improve product consistency, reduce waste, and align with customer expectations.

Ideal for quality control personnel, engineers, production managers, and continuous improvement teams, this training supports the development of a statistically-driven quality culture across industries.