Webinar
Statistical Process Control in AM
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.
Join Our Next Webinar
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
Meet the experts
Expert insights from Industry Top Experts, with rotating hosts and guests
14+ years in additive manufacturing, specializing in process optimization and quality assurance for L-PBF. At amsight, Tim leads strategy and partnerships—turning firsthand experience with AM data chaos into software that solves it.
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