A Control Chart is a statistical tool used for monitoring, controlling, and improving processes over time. It visualises process performance by plotting data points against predefined control limits to identify trends, variations, or potential issues, helping ensure the process remains stable and predictable. Features include:
Components:
- Central line (process average)
- Upper control limit
- Lower control limit
- Data points
Types:
- X-bar charts (for averages)
- R charts (for ranges)
- Individual charts (for single measurements)
Uses:
- Identify process variations
- Detect out-of-control conditions
- Monitor process improvements
Interpretation:
- Points within limits: process in control
- Points outside limits: special cause variation
Benefits:
- Early problem detection
- Objective decision-making
- Continuous process improvement
Control charts help maintain consistent quality in processes.