tag: data analytics

Geo-Spatial Outlier Detection
By Anne Meixner - 19 Jul, 2021 - Comments: 0

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and why. The main idea in outlier detection is to find something in or on a die that is different from all the other dies on a wafer. Doing this in the context of a die’s neighbor has become easie... » read more

Reliability Costs Becoming Harder To Track
By Ed Sperling And Susan Rambo - 08 Jun, 2021 - Comments: 0

Ensuring reliability in chips is becoming more complex and significantly more expensive, shifting left into the design cycle and right into the field. But those costs also are becoming more difficult to define and track, varying greatly from one design to the next based upon process node, package technology, market segment, and which fab or OSAT is used. As the number of options increases fo... » read more

Chasing Test Escapes In IC Manufacturing
By Anne Meixner - 11 May, 2021 - Comments: 0

The number of bad chips that slip through testing and end up in the field can be significantly reduced before those devices ever leave the fab, but the cost of developing the necessary tests and analyzing the data has sharply limited adoption. Determining an acceptable test escape metric for an IC is essential to improving the yield-to-quality ratio in chip manufacturing, but what exactly is... » read more

Debug And Traceability Of MCMs And Chiplets In The Manufacturing Test Process
By Guy Cortez - 16 Apr, 2021 - Comments: 0

Single die packages and products have been the norm for decades. Moreover, so has multi-chip modules (MCMs) or system in package (SiP) for quite some time. Understandably, with ASICs and SoCs becoming larger while silicon geometries continue to get smaller, there is an opportunity to combine even more functionality into a smaller form factor for the end product. Hence, new advancements in desig... » read more

Cloud Vs. On-Premise Analytics
By Anne Meixner - 09 Mar, 2021 - Comments: 2

The immense and growing volume of data generated in chip manufacturing is forcing chipmakers to rethink where to process and store that data. For fabs and OSATs, this decision is not one to be taken lightly. The proprietary nature of yield, performance, and other data, and corporate policies to retain tight control of that data, have so far limited outsourcing to the cloud. But as the amount... » read more

Finally, Analyzing All Test And Manufacturing Data Automatically
By Guy Cortez - 09 Mar, 2021 - Comments: 0

Product quality and yield, operational efficiency, and time-to-market continue to be dominant drivers in the semiconductor industry. Adding to this complexity is a diverse manufacturing and test supply-chain of independent providers all continuously generating enormous amounts of different types of chip-related data in various formats. The knowledge contained within this data is critical to pro... » read more

Why Improving Auto Chip Reliability Is So Hard
By Susan Rambo - 09 Feb, 2021 - Comments: 1

Tools and ecosystems that focus on reliability and the long-term health of chips are starting to coalesce for the automotive electronics industry. Data gleaned from a chip’s lifecycle — design, verification, test, manufacturing, and in-field operation — will become key to achieving the longevity, reliability, functional safety, and security of newer generations of automobiles. Having s... » read more

Data Issues Mount In Chip Manufacturing
By Anne Meixner - 09 Feb, 2021 - Comments: 2

For yield management systems the old calculation adage, "garbage in/garbage out" still rings true. Aligning and cleaning data remains a dirty business. With the increased value in data in the semiconductor supply chain, there now are essentially two supply chains running in parallel. One involves the physical product being created, while the other includes the data associated with each proce... » read more

Too Much Fab And Test Data, Low Utilization
By Anne Meixner - 12 Jan, 2021 - Comments: 7

Can there be such a thing as too much data in the semiconductor and electronics manufacturing process? The answer is, it depends. An estimated 80% or more of the data collected across the semiconductor supply chain is never looked at, from design to manufacturing and out into the field. While this may be surprising, there are some good reasons: Engineers only look at data necessary to s... » read more

Using Analytics To Reduce Burn-in
By Anne Meixner - 12 Jan, 2021 - Comments: 3

Silicon providers are using adaptive test flows to reduce burn-in costs, one of the many approaches aimed at stemming cost increases at advanced nodes and in advanced packages. No one likes it when their cell phone fails within the first month of ownership. But the problems are much more pressing when the key components in data warehouse servers or automobiles fail. Reliability expectations ... » read more

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