Statistical Process Control (SPC)

Statistical Process Control, commonly referred to as SPC, is a data-driven methodology for quality analysis and process improvement. In manufacturing no two products or characteristics are ever exactly same. Traditionally, product quality is ensured by post-manufacturing inspection of the product. In contrast, SPC uses statistical tools to observe the performance of the production process in order to detect significant variations before they result in the production of a sub-standard or defective product.

This course consists of a balance of lecture, practical exercises, group workshops and supplemental handout information. The instructor will guide students through real-world SPC examples so participants can effectively apply what they have learned.

Topics Covered:

• Introduction to SPC
• Statistical concepts
• Data collection & analysis
  • Histograms
  • Pareto chart
  • Run chart
  • Sources of variation
  • Control charts for variables
    • X-bar & R chart
    • X-bar & S chart
  • Control charts for attributes
• p chart
• np chart
• Control limits vs Specification limits
• Process capability
  • Cp
  • Cpk
• Problem solving tools
  • Brainstorming
  • Pareto analysis
  • Cause and Effect analysis
  • 5-Why Root Cause analysis