Linking process settings to defects

Out of hundreds of equipment settings, I isolate the ones actually tied to defects — and separate coincidence from cause.

What this is

  • Call a correlation a cause and you will change the wrong setting while the defect stays.

When this applies

  • You know the defect rate but the candidate causes are too many

How it runs

  • Align settings and results on one timeline
  • Narrow candidates statistically, then filter what remains with domain knowledge

What you receive

  • A ranked list of causes plus a plan to verify them

Level of experience

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