May 13th 2026 | 4 p.m. CET (EU) | 9 a.m. CST (US)
Statistical Process Control in AM
From Data to Process Stability and Repeatable Part Quality

Why This Webinar Matters
Many AM teams collect large amounts of production and quality data — but struggle to turn that data into real process stability and repeatable part quality. As production scales and regulatory pressure increases, intuition and isolated Excel analyses are no longer sufficient. This webinar shows how Statistical Process Control (SPC) helps transform raw AM data into measurable stability, early drift detection, and certified quality.
What You Will Learn
- Why Statistical Process Control is critical for serial AM production
- How to define and monitor Critical-to-Quality (CTQ) parameters
- How to detect trends and process drifts before scrap occurs
- How SPC supports qualification, repeatability, and audit readiness
Agenda
- Introduction: Why data alone is not enough in AM
- Fundamentals: SPC principles and key metrics (Cp, Cpk, Pp, Ppk) in AM
- Application: Identifying CTQs and monitoring builds, machines, and materials
- Best Practices: Implementing SPC in regulated AM environments
- Q&A
Date & Time
May 13, 4:00 PM (CET - EU) | 9 AM (CST - US)
One Software for Complete AM Traceability
amsight centralizes every piece of AM data, from powder batches to process parameters and final inspections.
All Production Data in One Place
No more digging through shared folders and spreadsheets
Connect powder, process, post-processing, and inspection data
Automatic ingestion from machines, log files, and documents
Prove Quality Without Manual Work
80% less data management effort
Always complete, always up-to-date
Documentation generated in a single click
Find Problems Before They Become Scrap
Built-in Statistical Process Control (SPC)
Root-Cause Analysis in minutes – not hours
Plan and track maintenance activities



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