Overview

Modern manufacturing demands processes that are stable, predictable, and capable of consistently delivering quality results. Statistical Process Control (SPC) provides the analytical foundation needed to understand process behavior, reduce variation, and make data-driven decisions. For organizations operating under standards such as ISO 9001, AS9100, ISO 13485, and IATF 16949, the ability to correctly apply SPC methods is a critical component of process control, product conformity, and continuous improvement.

This two-day course provides a comprehensive and practical introduction to SPC, with a focus on real-world application rather than theory alone. Participants learn how to select, construct, and interpret control charts, evaluate process capability, distinguish between common and special cause variation, and use data to improve manufacturing and service processes.

Designed for individuals who analyze data, monitor processes, or lead improvement projects, this course blends technical instruction with hands-on exercises and worked examples. By the end, attendees will be able to confidently apply SPC tools within their own environment to improve stability, predictability, and performance.

Topics

• Importance of Process Control
• Minimum Variation
• Controlling Quality
• Closed Loop Control System
• Variation Sources
• Graphical Representations
• Process Distribution
• List of Common Causes and Special Causes
• Local Actions and System Actions: Process Control and Process Capability
• Common and Special Causes
• X-bar and R charts
• Rules of Probability
• Stages for Continual Improvement: Analyze the Process, Maintain (Control) the Process, Improve the Process

Who Should Attend

• Quality & Process Engineers
• Process Development & Validation Personnel
• Quality Technicians
• Manufacturing/Operations Personnel
• Production Supervisors
• Process Improvement Personnel
• SPC Supervisors
• Supplier Quality Personnel
• Laboratory Personnel
• Six Sigma Professionals