| Summary: | This abstract discusses the significance of achieving optimal testing programs in the
context of AMD Singapore's New Product Integration (NPI) process, where product yield
and quality are paramount concerns. The objective is to establish a realistic benchmark,
known as the optimal test point, which effectively differentiates between performing and
under-performing units without excessively impacting yield. The report emphasizes the
automation of this process, aiming to streamline and expedite the determination of the
optimal test point, previously performed manually. By automating this critical aspect,
significant time savings are anticipated, consequently reducing costs during the NPI
process.
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