Scaling End-to-End Advanced Predictive Manufacturing

Quality is a cornerstone of technological leadership in the memory industry. The exponential growth of quality control parameters and requirements increases complexity and cost pressures and requires a proactive partnership between device makers and material suppliers.
Successes over the last years have proven that a combination of a data sharing and analytics approach with material science and engineering-based expertise can help address this challenge. Past collaborations resulted in the reduction of task force resolution durations from months to weeks as well as significant yield improvements in the memory business. The analysis of combined data sets between chip makers and material suppliers enables optimizing for what it is all about – electrical performance.
Especially now, during the downturn in the chip market and resulting cost pressure across the industry, such Digital Solutions require efficient scaling. Therefore, Micron and EMD Electronics are standardizing the end-to-end workflow from digitalization over data sharing to analysis and value creation. Their approach covers the assessment of digital opportunities, data capture and automation, process mapping and aggregation, data validation, analytics workflows, and more. A cloud-based platform was used to combine data flows from multiple process historians and other data sources across the entire enterprise. Advanced tools were used on the cloud to enable time series search functionality and the definition of process event frames. Custom applications were developed to define aggregations of process data over event frames so that meaningful correlations between process and performance data can be analyzed for predictive quality.
Learn how Micron and EMD Electronics are standardizing their data sharing and analytics approach to realize benefits at scale, and their joint vision for the future of data collaboration in the semiconductor industry.

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This presentation can be seen as follow-up to the Micron-Merck presentation at Semicon West 2021 by Laura Matz (Chief Science and Technology Officer at Merck KGaA, Darmstadt, Germany) and Raj Narasimhan (back then Corporate Vice President, Global Quality, Micron Technology, Inc. now Senior Vice President and General Manager of the Compute and Networking Business Unit) titled "Creating a Data Ecosystem to enable End-to-End Advanced Predictive Manufacturing - From Material Supplier to Memory Device Maker".