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

Getting Smarter About Tool Maintenance


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


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

Big Payback For Combining Different Types Of Fab Data


Collecting and combining diverse data types from different manufacturing processes can play a significant role in improving semiconductor yield, quality, and reliability, but making that happen requires integrating deep domain expertise from various different process steps and sifting through huge volumes of data scattered across a global supply chain. The semiconductor manufacturing IC data... » read more

Cloud Vs. On-Premise Analytics


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

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