Six-Sigma Methodologies Support Back-End Yield and Quality Metrics Improvement

Download Whitepaper
  • Author: Tom Hand, Jennifer Welborn, and Jim Oerth

Six-sigma methodologies lead to understanding of root causes of yield loss in the back-end process. A datadriven decision making process is used to allocate resources and to optimize process flows. As a result, the yield of the backend process was increased by nine percentage points over the last three years.