SAS® Production Quality Analytics Features

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.

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