Quality problems seen during the process.
Quality management measures every run against a reference, so a drift shows up while the batch is being made and not at final inspection.
What it does
Test templates
Procedure, setup parameters, monitored variables and threshold rules, defined once per product.
Campaigns and tests
Plan a campaign and run the single tests on the machine.
Golden batch
Each run is compared with the reference run for that product.
Anomaly scores
A rolling z-score during the test, an unsupervised score after it, and similarity with clusters of past runs.
Process quality per machine
A dashboard of process quality for each piece of equipment.
The data it stands on
Like every module, it reads the shared ISA-95 model. Nothing is copied into a separate database.
- Process variables from the machine during the test
- Products from the Catalog
- Equipment from the site model
What it measures
- Test result and pass rate by category
- Anomaly score during and after the test
- Similarity with the golden batch
- Statistics of each variable: mean, deviation, slope, minimum and maximum
See DigiFactor on your own data.
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