STATMES SPC
Statistical process control (SPC) for manufacturing excellence
Process capability analysis
Cpk | Ppk | Real-time monitoring | AWS deployment.
STATMES SPC is a powerful statistical process control (SPC) software designed for manufacturing environments. Deploy it directly in your AWS account using a container-based architecture and gain immediate insights into process capability, quality control, performance trends.
Available on AWS Marketplace
Container-based deployment
Understanding process capability analysis.
What is Cpk (Process capability index)?
Cpk measures how well a manufacturing process performs within specification limits, considering process spread and centering between Upper specification limit (USL) and Lower specification limit (LSL).
Cpk = min[(USL – μ) / 3σ, (μ – LSL) / 3σ]
Where:
μ = process mean
σ = process standard deviation (short-term)
USL = upper specification limit
LSL = lower specification limit
What is Ppk (Process performance index)?
Ppk evaluates overall process performance over time, using total variation including common and special causes.
- Uses overall standard deviation (long-term variability)
- Reflects real-world manufacturing performance
- Accounts for process drift and variation
Ppk = min[(USL – μ) / 3σ_total, (μ – LSL) / 3σ_total]
Cpk vs Ppk
Long-term performance
Total process
Actual performance
Ppk:
Long-term performance
Total process
Actual performance
Key features
- Customizable filters
- Multi-parameter analysis
- Statistical calculations
- Historical trending
- Pass/Fail analysis
- Report capabilities
- Export capabilities
- Short-term performance tracking
- Configurable time intervals
- Subgroup management
- Comprehensive statistics
- Multi-parameter analysis
- Report capabilities
- Export capabilities
- Automated drift monitoring
- Baseline management (e.g Mean ± 2σ)
- Real-time drift alerts
- Email notifications (SMTP)
- Trend analysis & visualization
- Subscription Management
- Configurable monitoring intervals
Process performance (Ppk):
- Customizable filters
- Multi-parameter analysis
- Statistical calculations
- Historical trending
- Pass/Fail analysis
- Report capabilities
- Export capabilities
- Short-term performance tracking
- Configurable time intervals
- Subgroup management
- Comprehensive statistics
- Multi-parameter analysis
- Report capabilities
- Export capabilities
Process drift detection:
- Automated drift monitoring
- Baseline management (e.g Mean ± 2σ)
- Real-time drift alerts
- Email notifications (SMTP)
- Trend analysis & visualization
- Subscription Management
- Configurable monitoring intervals
Drift detection capabilities
Real-time
Alert notifications
Auto
Baseline calculation
Comprehensive visualizations.
Test value line charts
Interactive time-series visualization of measurement data
Customizable x-axis:
Switch between index-based or timestamp-based display
Specification limits:
Average lines:
Data points:
Individual test values plotted for trend analysis
Process performance evolution chart
Track Ppk performance over time
Ppk evolution:
Ppku & Ppkl trends:
Performance assessment:
Customizable intervals:
Configure time intervals for performance calculation
Distribution histogram with statistical metrics
Visual assessment of process distribution with comprehensive statistics
Customizable bins:
Specification limits
Average indicators:
Distribution shape:
Visual assessment of process centering and spread
Statistical panel (displayed alongside histogram):
Mean:
Standard deviation:
P-value:
Additional metrics:
Cpk, Ppk, quantity, fail rate, and more
Drift monitoring trend analysis.
Real-time process drift visualization with color-coded status
Status indicators:
Baseline reference:
Trend line:
Alert points:
Data management.
Flexible data integration
- Date range selection for specific time periods
- Hierarchical filtering: Plant → Product → Station → Test Plan → Test Step
- Dynamic filter options based on available data
- Last update tracking for data freshness
- Available dates query before analysis
- Local data upload: Upload CSV files for local data imports and analysis
AWS Markeplace deployment.
Easy deployment:
Secure:
Scalable:
S3 integration:
Direct integration with your S3 data sources for seamless data access
Technology stack.
Backend:
Data processing:
Storage:
Container:
Docker
Use cases.
Quality engineering:
Production monitoring:
Continuous improvement:
Compliance & reporting:
Generate comprehensive capability reports for regulatory compliance and customer requirements
Why choose STATMES SPC?
Deploy in your environment:
Complete control with deployment in your own AWS account
Data security:
Your sensitive manufacturing data stays secure in your infrastructure
Scalable architecture:
Container-based design grows with your needs
Modern technology:
Built with cutting-edge Python frameworks for performance
Comprehensive analysis:
Cpk, Ppk, and drift detection all in one platform
Real-time monitoring
Automated drift detection with email alerts
Flexible integration
RESTful API for integration with existing tools
Production-ready
Battle-tested in manufacturing environments
Ready to improve your process control?
Deploy STATMES SPC in your AWS account today and start gaining valuable insights into your manufacturing processes.
