Achieving the requisite target yield as early as possible during silicon ramp is a lead indicator of product success. Delays in reaching yield entitlement can impact time-to-market, increase manufacturing costs, and reduce overall product competitiveness—particularly at advanced nodes where complexity and cost continue to rise. As a result, incorporating a solution that can rapidly identify and resolve systematic yield limiters has become essential to enabling efficient ramp to high-volume production. Such a solution requires analytics-driven volume diagnostic and failure analysis capabilities to reverse engineer test failures captured on automatic test equipment (ATE). These capabilities identify the precise failing location within the chip, rank failure candidates based on yield impact, and provide the highest-priority candidates to the failure analysis lab for final root-cause confirmation. Corrective action can then be performed on either the design or the silicon process to correct and improve the yield of your chip and ultimately enable you to go to high volume production and into the market ahead of the competition. Read more here . The post Accelerate Yield Ramp with Closed-Loop Yield Learning appeared first on Semiconductor Engineering .