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Optimizing Semiconductor Manufacturing Yield

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 Optimizing Semiconductor Manufacturing Yield - IoT ONE Case Study
The Challenge

The U.S.-based manufacturer designs and delivers a broad set of cutting-edge products, including radio frequency filters, amplifiers, modulators, attenuators, and more. However, the manufacturer had been experiencing lower than expected overall yield in some of its most complex products.

The Customer
About The Customer

A large manufacturer of high-performance semiconductors

The Solution

A large manufacturer of high-performance semiconductors implemented C3 AI Process Optimization to optimize the manufacturing process of its wireless products, demonstrating the ability to predict low-yield wafers early in the process and identify process improvements to increase overall yield.

By implementing C3 AI Process Optimization, the manufacturer can now identify bad wafers, quantify time and costs saved, and tune design and manufacturing processes to optimize yields. The total estimated economic impact is greater than $30 million per year from both manufacturing optimization and design.

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