Course: Doe for injection moulding validation
About the course
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.
Course objectives
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.
You will learn to
- Identify significant process parameters for product quality and understand their suitability for DoE, as well as why some parameters are excluded from validation
- Recognize the value of applying DoE for process investigations and understand the insights it can provide
- Choose the right type of DoE and interpret analysis outputs effectively, including understanding potential pitfalls
- Leverage analysis outputs to improve quality control plans and reduce inspection resource requirements.
Content highlights
- Understanding process robustness
- Process window definition and parameter selection
- Identifying parameter interactions
- Differences between DoE for validation and DoE for Six Sigma
- How DoE works: planning, analysis, and output interpretation
- Applying DoE conclusions to real-world scenarios
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