tag: data analytics

Strategies For Meeting Stringent Standards For Automotive ICs
By Prasad Bachiraju - 26 Oct, 2021 - Comments: 0

It may surprise you, but when it comes to chips in electronic braking systems, airbag control units, and more, automotive manufacturers are still using 10-year-old technology — and with good reason. For the automotive industry, the reliability, stability, and robustness of electronic components are critical, especially when it comes to meeting the stringent Automotive Electronics Council (... » read more

One Test Is Not Always Enough
By Anne Meixner - 12 Oct, 2021 - Comments: 0

To improve yield, quality, and cost, two separate test parameters can be combined to determine if a part passes or fails. The results gleaned from that approach are more accurate, allowing test and quality engineers to fail parts sooner, detect more test escapes, and ultimately to improve yield and reduce manufacturing costs. New data analytic platforms, combined with better utilization of s... » read more

Making Test Transparent With Better Data
By Susan Rambo - 07 Sep, 2021 - Comments: 0

Data is critical for a variety of processes inside the fab. The challenge is getting enough consistent data from different equipment and then plugging it back into the design, manufacturing, and test flows to quickly improve the process and uncover hard-to-find defective die. Progress is being made. The inspection and test industry is on the cusp of having more dynamic ways to access the dat... » read more

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

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