Anne Meixner

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Anne Meixner is a contributing editor at Semiconductor Engineering. She has 30+ years in the semiconductor industry. She became fascinated by defects in the semiconductor manufacturing process as a young engineer at IBM. Over that period, she has focused on test methodology with emphasis on mixed-signal and analog DFT and test. As a technical communicator she takes complex ideas and explains them in consumable understandable pieces. Meixner has worked at IBM, Carnegie Mellon University and Intel. She holds three U.S. patents and her peers have recognized her work with two best papers at IEEE International Test Conference. She founded The Engineers’ Daughter in 2015 to consult on semiconductor testing and to coach engineers.

Author's Latest Posts

Infrastructure Impacts Data Analytics
By Anne Meixner - 08 Dec, 2020 - Comments: 2

Semiconductor data analytics relies upon timely, error-free data from the manufacturing processes, but the IT infrastructure investment and engineering effort needed to deliver that data is, expensive, enormous, and still growing. The volume of data has ballooned at all points of data generation as equipment makers add more sensors into their tools, and as monitors are embedded into the chip... » read more

Adaptive Test Gains Ground
By Anne Meixner - 10 Nov, 2020 - Comments: 0

Not all devices get tested the same way anymore, and that’s a good thing. Quality, test costs, and yield have motivated product engineers to adopt test processes that fall under the umbrella of adaptive test, which uses test data to modify a subsequent test process. But to execute such techniques requires logistics that support analysis of data, as well as enabling changes to a test based ... » read more

Demand Grows For Reducing PCB Defects
By Anne Meixner - 13 Oct, 2020 - Comments: 0

Board manufacturers are boosting their investment in inspection, test and analytics to meet the increasingly stringent demands for reliability in safety-critical sectors like automotive. This represents a significant shift from the past, where concerns about reliability primarily targeted the devices connected to printed circuit boards. But as SoCs become disaggregated into advanced packages... » read more

New Data Format Boosts Test Analytics
By Anne Meixner - 08 Sep, 2020 - Comments: 0

Demand for more and better data for test is driving a major standards effort, paving the way for one of most significant changes in data formats in years. There is good reason for this shift. Data from device testing is becoming a critical element in test program decisions regarding limits and flows. This is true for everything from automotive and medical components to complex, heterogeneous... » read more

Better Analytics Needed For Assembly
By Anne Meixner - 11 Aug, 2020 - Comments: 0

Package equipment sensors, newer inspection techniques, and analytics enable quality and yield improvement, but all of those will require a bigger investment on the part of assembly houses. That's easier said than done. Assembly operations long have operated on thin profit margins because their tasks were considered easy to manage. Much has changed over the past several years, however. The r... » read more

Monitoring IC Abnormalities Before Failures
By Anne Meixner - 07 Jul, 2020 - Comments: 0

The rising complexities of semiconductor processes and design are driving an increasing use of on-chip monitors to support data analytics from an IC’s birth through its end of life — no matter how long that projected lifespan. Engineers have long used on-chip circuitry to assist with manufacturing test, silicon debug and failure analysis. Providing visibility and controllability of inter... » read more

Using Fab Sensors To Reduce Auto Defects
By Anne Meixner - 09 Jun, 2020 - Comments: 0

The semiconductor manufacturing ecosystem has begun collaborating on ways to effectively use wafer data to meet the stringent quality and reliability requirements for automotive ICs. Silicon manufacturing companies are now leveraging equipment and inspection monitors to proactively identify impactful defects prior to electrical test. Using machine learning techniques, they combine the monitor ... » read more

Sensing Automotive IC Failures
By Anne Meixner - 12 May, 2020 - Comments: 1

The sooner you detect a failure in any electronic system, the sooner you can act. Together, data analytics and on-chip sensors are poised to boost quality in auto chips and add a growing level of predictive maintenance for vehicles. The ballooning number of chips cars makes it difficult to reach 10 defective parts per billion for every IC that goes into a car.  And requiring that for a 15-y... » read more

The Need For Traceability In Auto Chips
By Anne Meixner - 07 Apr, 2020 - Comments: 4

Someday your car will drive itself to a repair shop for a recall using a scheduling application that is both efficient and can prioritize which vehicles need to be fixed first. But that's still a ways off. Proactive identification of issues is not yet available. To be ready for that, today’s data analytics systems need to begin supporting targeted recalls, enabling predictive maintenance a... » read more

More Data, More Problems In Automotive
By Anne Meixner - 11 Feb, 2020 - Comments: 0

The race toward increasing levels of autonomy is being hampered by competitive concerns over sharing data across the automotive supply chain. Pushing past the initial ADAS levels into full autonomy is expected to take more than a decade, but the infrastructure for those systems, and making sure all assisted and autonomous vehicles work with other vehicles, is under development today. Still, ... » read more

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