SAS Production Quality Analytics Features List
Integration of all relevant data in an enterprise quality-centric data model
- Parts-movement data.
- Measurement data.
- Continuous measures.
- Categorical measures.
- Equipment data.
- Supplier-quality data.
- Environmental data.
- Cost attributes.
- Organizational data.
Batch state vector
- Generate complete data sets for product batches, including all upstream and downstream batches, quality measures and process measures.
- Enables analysis of what drives quality in production.
Quality explorations
- Plot high volumes of production process data.
- Plot quality events like batch and product against sensor data.
- Quickly narrow down where to diagnose quality problems.
Predictive modeling
- Decision trees.
- Neural networks.
- Regression analysis.
- Clustering.
Advanced analysis workspace
- Pareto charts.
- Histograms.
- Distribution analysis.
- Regression and curve fitting.
- Path analysis.
Reporting & KPI dashboards with drillable alerts
- KPI dashboard.
- Web-based reports.
- Web-based graphs.