SPC Training Program Beginner Level Your Company Name
Agenda 1. Introduction to SPC 2. Importance of SPC 3. Basic Statistics for SPC 4. Types of Variations 5. Control Charts 6. SPC Rules 7. Process Capability 8. Case Studies & Workshop 9. Summary & Q&A
What is SPC? • SPC = Statistical Process Control • Method to monitor and control processes • Ensures stability & consistency • Like a health check-up for a process
Everyday Example of SPC • Making tea/coffee ☕ - Too much sugar = bad taste - Too little sugar = bad taste - Right amount = in control • SPC helps keep processes 'in control'
Types of Variation • Common Cause – Natural variation (small, expected) • Special Cause – Specific problem (machine, operator, material, method, environment)
Control Charts Introduction • Graph to monitor process over time • Center Line (CL), Upper Control Limit (UCL), Lower Control Limit (LCL) • Acts like a traffic signal 🚦 for process health
Types of Control Charts • Variable Data Charts: - X̄-R Chart, I-MR Chart, X̄-S Chart • Attribute Data Charts: - p-chart, np-chart, c-chart, u-chart
SPC Rules – Easy Version • Point outside limits = Out of control 🚨 • Many points rising/falling = Problem 🚨 • Pattern not random = Problem 🚨
Process Capability • Cp = (USL - LSL) / (6σ) • Cpk = measures closeness to target • Cp ≥ 1.33 = Capable process
Case Study Example • Before SPC – High defect rate • After SPC – Stable process & reduced defects • Group activity: plot data & interpret
Summary • SPC = Monitoring tool for process stability • Helps in early detection of problems • Improves quality & reduces cost