Pressure Builds On Failure Analysis Labs


Failure analysis labs are becoming more fab-like, offering higher accuracy in locating failures and accelerating time-to-market of new devices. These labs historically have been used for deconstructing devices that failed during field use, known as return material authorizations (RMAs), but their role is expanding. They now are becoming instrumental in achieving first silicon and ramping yie... » read more

Using Smart Data To Boost Semiconductor Reliability


The chip industry is looking to AI and data analytics to improve yield, operational efficiency, and reduce the overall cost of designing and manufacturing complex devices. In fact, SEMI estimates its members could capture more than $60B in revenues associated through smart data use and AI. Getting there, however, requires overcoming a number of persistent obstacles. Smart data utilization is... » read more

Preventing Process Excursion With AI And Yield Management Software


Process excursion, or any deviation in a certain process, significantly impacts the cost of semiconductor manufacturing process and product yield. During production, process excursion can be detected early during in-line inspections. However, in some cases, excursion isn’t detected until later in the production process such as during wafer testing in the probing area after production. Apar... » read more

Where And When End-to-End Analytics Works


With data exploding across all manufacturing steps, the promise of leveraging it from fab to field is beginning to pay off. Engineers are beginning to connect device data across manufacturing and test steps, making it possible to more easily achieve yield and quality goals at lower cost. The key is knowing which process knob will increase yield, which failures can be detected earlier, and wh... » read more

Geo-Spatial Outlier Detection


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

18 Things Fabless Start-Ups Should Look For In A Yield Management System


Do you work for a fabless start-up? Are you ramping up? If so, you need data-analysis tools for your production data. You will struggle without them. You have two options for yield management analysis. You may decide to hire an engineer (or team of engineers) whose job it is to transfer the data from datalogs to a spreadsheet. Then generate reports. Or, you could invest in a system that takes c... » read more

6 Signs You Need A Yield Management System


We often speak to companies who don’t know if they need yield management software yet. While most semiconductor companies need to invest in yield management, there could be instances where you’ll get by without one for a while. This article is for companies that use an internal option (such as Excel or JMP) and those who don’t have yield management at all. We will share the six most obvio... » read more