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Q-YIELD™

Most yield diagnostic tools only help you confirm a hypothesis.

Was it Problem A? Or Problem B?

But if you already knew that much, you would never have a problem.

Q-YIELD is unique. It uses data mining techniques to identify possible causes of a yield problem from your production data. Because of its comprehensive coverage, it is ideal for finding the solution to difficult problems — problems where the usual suspects aren't the culprits.

Our customers use Q-YIELD because: CD and Case

  • QYIELD finds possible causes of yield variation... fast. Sometimes an order of magnitude faster than other approaches.
  • It is easy to use. Some of our customers have obtained useful results within minutes of installing the product.
  • It handles unnormalized, biased data with outliers and missing values— the type of data fabs produce and statistics books hate.
  • It works with standard production data — the type of data you probably already have.
  • It is designed to handle fab-sized datasets, not just spreadsheet-sized datasets.
  • QYIELD runs on a standard Windows 2000/XP workstation.

For an example of Q-YIELD in action, see our online case study.

But don't take our word for it. See the results for yourself. Evaluate Q-YIELD now on your own production data. Ask us for an evaluation copy.

© Quadrillion Corporation 2017