In process validation, it is essential to provide evidence justifying your process window decisions. While processing engineers bring valuable expertise, auditors often require statistical methods to support these decisions.

Design of Experiments (DoE) is a powerful tool that can save time and provide statistical evidence to justify the selection—and exclusion—of specific process parameters. DoE is straightforward to use once you understand how to interpret its outputs and connect them to real-world conditions.

This course will guide you through key decisions, including input selection, choosing the appropriate methods, and interpreting outputs practically, without requiring advanced statistical knowledge.

This course will provide you with a broad understanding of why the “nominal” injection molding process is structured as it is and how the process validation window is established. The course offers a broader perspective to suit participants from various roles—not just process engineers. Is not a detailed process optimization course, nor a statistical specialist course.