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1. Statistical Process Control (SPC) Training Beginner Level Your Company Name

2. Agenda 1. Introduction to SPC 2. Importance of SPC 3. Basic Statistics for SPC 4. Control Charts 5. Types of Variations 6. SPC Rules & Interpretation 7. Examples & Case Study 8. Summary

3. What is SPC? • Method to monitor and control processes using statistical tools • Ensures process stability and capability • Reduces defects & improves quality

4. Why SPC is Important? • Detects problems early • Improves productivity & consistency • Reduces rework, scrap, and costs • Supports continuous improvement

5. Key SPC Terms • Mean (X̄) • Range (R) • Standard Deviation (σ) • Cp, Cpk (Capability Indices) • Control Limits (UCL, LCL)

6. Types of Variations • Common Cause Variation – Natural & unavoidable • Special Cause Variation – Due to specific problems (machine, material, operator, method, environment)

7. Control Charts Introduction • Line chart with center line (CL), UCL, LCL • Shows variation over time • Helps identify if process is in control

8. Types of Control Charts • Variable Data Charts: - X̄-R Chart, X̄-S Chart, I-MR Chart • Attribute Data Charts: - p-chart, np-chart, c-chart, u-chart

9. SPC 7 Rules (Western Electric Rules) 1. One point beyond control limits 2. 7 points on one side of mean 3. 7 points increasing or decreasing 4. 14 points alternating up & down 5. 2 out of 3 points in Zone A 6. 4 out of 5 points in Zone B 7. 15 points in Zone C

10. Process Capability (Cp & Cpk) • Cp = (USL - LSL) / (6σ) • Cpk = min[(USL - μ) / (3σ), (μ - LSL) / (3σ)] • Cp ≥ 1.33 = Capable

11. Example of Control Chart • Sample control chart with interpretation (Insert real-time chart example here)

12. Case Study (Optional) • Before SPC vs After SPC results • Improvement in rejection %

13. Summary • SPC = tool for monitoring process stability • Helps in early detection of problems • Improves quality & reduces cost

14. Q&A Any questions?