PDF Solutions

When you go from a known good die to a known good system, there are manufacturing and design considerations, said Dennis Ciplickas, vice president of advanced solutions at PDF Solutions.

"With regard to too much data and how to put it together in a clean way, we’ve developed a notion called a semantic model... By driving the notion of semantics up and down the supply chain, you get a very efficient way to put everything together for analytics and control." - Dennis Ciplickas, VP of Advanced Solutions

What’s not well understood is the complexity of, and methods to solve, data alignment across the supply chain. The genealogy of devices and respective data is important to the training of complex ML models. Complexities include the use of different identifiers at different steps, and reverse-BOM (bill of materials, one unit to many devices) and then BOM (many devices to one unit). -Greg Prewitt, Director of Exensio solutions at PDF Solutions.

The manufacturing process is increasingly complex and spread across multiple facilities and operational groups. Just as this distribution creates logistic challenges, it also complicates the timely collection and alignment of data sources and types. Solving these challenges benefits from collecting data directly at the processing tool, automated timely data transport, and establishing a single data repository for these disparate data sources" Greg Prewitt, Director of Exensio Solutions.

Companies are still not analyzing all the data they are collecting, said Greg Prewitt, director of Exensio solutions at PDF Solutions. Up to 85% of data remains ‘dark data,’ which is data that is never even used in analytics, but is saved anyway.

When a new asset like a package is assembled, it is enrolled as a brand-new asset on the blockchain, along with its bill of materials. You now have a genealogy." Dave Huntley, Director of Business Development, PDF Solutions #traceability #exensio #bigdataanalytics https://bit.ly/2I81g4l