tag: data analytics

Data Analytics For The Chiplet Era
By Shinji Hioki - 09 May, 2023 - Comments: 0

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

What Is Achievable With A Yield Management System?
By Antonija Zagar - 12 Apr, 2023 - Comments: 0

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

Getting Smarter About Tool Maintenance
By Anne Meixner - 16 Mar, 2023 - Comments: 0

Chipmakers have begun to shift to predictive maintenance for process tools, but the hefty investment in analytics and engineering efforts means it will take some time for smart maintenance to become a widespread practice. Semiconductor manufacturers need to maintain a diverse set of equipment to process the flow of wafers, dies, packaged parts, and boards running through factories. OSAT and ... » read more

Integrating Siloed Data In Semiconductor Manufacturing
By Antonija Zagar - 13 Mar, 2023 - Comments: 0

In semiconductor manufacturing, huge amounts of data are generated and collected at every step in multiple production areas, with data coming from wafer fab, probe/testing, assembly, and final test. That data is usually stored separately in its respective manufacturing department, isolated from other departments. In order to analyze the production data and make better decisions, yield an... » read more

Adopting Predictive Maintenance On Fab Tools
By Anne Meixner - 06 Dec, 2022 - Comments: 0

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled maintenance. But implementing this approach is non-trivial, and it can be disruptive to well-honed processes and flows. Not performing maintenance quickly enough can result in damage to wafers or the... » read more

AI-Driven Big Data Analytics Enables Actionable Intelligence, Improving SoC Design Productivity
By Cadence - 26 Oct, 2022 - Comments: 0

As the latest systems on chip (SoCs) grow in size and complexity, a vast amount of design data is generated during verification and implementation. Design data is business critical and, with the proliferation of artificial intelligence (AI) use in chip design, provides designers an opportunity to carry forward learnings and insights with every new design. To achieve first-pass success deliverin... » read more

The Drive Toward More Predictive Maintenance
By Anne Meixner - 08 Sep, 2022 - Comments: 0

Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products or equipment, or significant system/equipment downtime. By shifting from scheduled maintenance to predictive maintenance, factories and electronic system owners can reap substantial benefits, in... » read more

Making The Most Of Data Lakes
By Anne Meixner - 09 Aug, 2022 - Comments: 0

Having all the semiconductor data available is increasingly necessary for improving manufacturability, yield, and ultimately the reliability of end devices. But without sufficient knowledge of relationships between data from different processes and computationally efficient data structures, the value of any data is significantly reduced. In the semiconductor industry, reducing waste, decreas... » read more

Finding Frameworks For End-To-End Analytics
By Anne Meixner - 12 Jul, 2022 - Comments: 0

End-to-end analytics can improve yield and ROI on tool purchases, but reaping those benefits will require common data formats, die traceability, an appropriate level of data granularity — and a determination of who owns what data. New standards, guidelines, and consortium efforts are being developed to remove these barriers to data sharing for analytics purposes. But the amount of work req... » read more

Elevating Production Testing With Deep Data Analytics And ACS At The Edge And Cloud
By proteanTecs - 12 Jul, 2022 - Comments: 0

The level of system integration continues to increase at a rate of greater than 30% per year — fueled by the industry’s desire for increased capability, advanced process nodes, and "more than Moore" packaging techniques. Co-optimization of the hardware and software have also been required not only at the design stage, but at test and in the field. This white paper will present how to ele... » read more

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