📊 Control Chart Champion: Process Monitoring Simulator

🎯 Objective

Monitor the burger production line using X̄-bar and R control charts. Maintain quality while minimizing false alarms and production stops.

📊 Understanding Control Charts

X̄-bar Chart: Shows the average weight of burger samples over time

R Chart: Shows the range (variation) within each sample

UCL/LCL: Upper and Lower Control Limits (3σ from center)

Center Line: The process mean when in control

🚨 When to Take Action

• Points outside control limits (beyond UCL or LCL)
• 7 consecutive points on one side of center line
• 6 points in a row trending up or down
• Unusual patterns suggesting special cause variation

💡 Strategy Tips

• Common cause variation is normal - don't overreact!
• Special cause variation requires investigation
• Balance quality control with production efficiency
• Each false alarm costs money and time

📈 Scoring

Your quality score is based on:

• ✅ Catching real defects quickly
• ✅ Maintaining stable production
• ❌ Missing defects (reduces score)
• ❌ False alarms (reduces score)