White paper

Design of Experiments (DoE) Workflow with Focus on Wafer Uniformity in Semiconductor Industries

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Learn how to apply Design of Experiments to improve wafer uniformity and process understanding in semiconductor manufacturing.

This whitepaper outlines a practical DoE workflow in Cornerstone software using a semiconductor contact hole etching example. It shows how to move from problem definition and factor-response setup to experiment design, data analysis, and optimization in a more structured way than trial-and-error approaches.

What you will learn:

  • How to define factors, responses, and constraints for a semiconductor DoE study
  • How to choose model and design types based on process needs and run limitations
  • How to use regression analysis to assess model fit, residuals, and significant effects
  • How to evaluate wafer uniformity using wafer map data and positional analysis in Cornerstone

Download the whitepaper to see how Cornerstone software supports a more systematic approach to semiconductor process optimization and wafer uniformity analysis.

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