V3Qtor AG/Manufacturing/Quality management
Quality Analytics Suite
Real-time quality monitoring with automated control charts, deviation alerts, process-capability analysis and prediction of quality trends before they become scrap.
Earlyalerts before scrap is produced
- Practice
- Decision & Risk Sciences
- Sector
- Manufacturing, quality management
- Systems involved
- Master Data Management Layer for product and variant master data
- Why it matters
- The number is an engagement target1.
What it changes in the P&L
Scrap, rework and warranty. Capability known per variant means tolerances are set where the money is.
How the first weeks go
- Fit the data you haveDistributions, regressions, time series: we start with what the system records and say where the data is too thin to decide.
- Put a confidence interval on the decisionA rate, a risk score, a treatment match: each comes with its uncertainty and with the rule that says when a person decides instead.
- Calibrate on a rhythmBack-tests run weekly, drift is reported before anyone asks, and the model version is logged with every output.
In an engagement
An automotive components maker with two plants automated its control charts and capability analysis per variant. Deviations are alerted before scrap is produced, so defects are caught at the station instead of at final inspection1.
What stays
Quality Analytics Suite stays after the engagement. The weekly maintenance and production review runs from its numbers, and the records it produces file into the audit trail. Hand-over comes when the number has held for a quarter.
Talk to us about Quality Analytics Suite.
Tell us where it would run and what it would have to change. We will come back with what we would look at first, what the first quarter produces, and what it would take.
Notes and sources
- 1Illustrative. Anonymised engagement scenarios; figures indicate modeled or targeted impact and are not audited outcomes.