Smart Manufacturing Makes Gains In Chip Industry


Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depen... » read more

Multivariate Analysis For Full Process Visibility


In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation of those parameters may indicate a problem. For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis, also known as multivariate... » read more

Challenges Grow For Creating Smaller Bumps For Flip Chips


New bump structures are being developed to enable higher interconnect densities in flip-chip packaging, but they are complex, expensive, and increasingly difficult to manufacture. For products with high pin counts, flip-chip [1] packages have long been a popular choice because they utilize the whole die area for interconnect. The technology has been in use since the 1970s, starting with IBM�... » read more

Managing Yield With EUV Lithography And Stochastics


Identifying issues that actually affect yield is becoming more critical and more difficult at advanced nodes, but there is progress. Although they are closely related, yield management and process control are not the same. Yield management seeks to maximize the number of functioning devices at the end of the line. Process control focuses on keeping each individual device layer within its des... » read more

Addressing Yield Challenges In Advanced IC Substrate (AICS) Packaging


No matter how you get your news, it seems like everyone is talking about AI – and it’s either going to usher in a new era of productivity or lead to the end of humankind itself. Regardless, the AI era is here, and it’s just beginning to have an impact on our lives, our jobs and our future. To meet the rigorous demands of AI – along with high-performance compute, 5G and electric vehic... » read more

Data Analytics For The Chiplet Era


This article is based on a paper presented at SEMICON Japan 2022. Moore’s Law has provided the semiconductor industry’s marching orders for device advancement over the past five decades. Chipmakers were successful in continually finding ways to shrink the transistor, which enabled fitting more circuits into a smaller space while keeping costs down. Today, however, Moore’s Law is slowin... » 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

Silicon Lifecycle Management Advances With Unified Analytics


In a typical day in the life of a product engineer, they have gone through the requisite wafer sort testing in manufacturing with the next step to assemble the resultant good die into their respective packages. While performing a series of parametric tests during final test, yield issues are encountered and the process of finding the source of the issues begins. Luckily, with access to a good d... » read more

What Is Achievable With A Yield Management System?


Semiconductor manufacturers are under constant pressure to increase yields and cut costs. Yield Management Systems (YMS) are designed specifically to meet the needs of semiconductor manufacturers, enabling them to investigate yield excursions, streamline the manufacturing processes, optimize the supply chain, analyze tools and eliminate workplace inefficiencies. In terms of data challenges... » read more

What Data Center Chipmakers Can Learn From Automotive


Automotive OEMs are demanding their semiconductor suppliers achieve a nearly unmeasurable target of 10 defective parts per billion (DPPB). Whether this is realistic remains to be seen, but systems companies are looking to emulate that level of quality for their data center SoCs. Building to that quality level is more expensive up front, although ultimately it can save costs versus having to ... » read more

← Older posts Newer posts →