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TaiwanManufacturing2017 – ongoing

United Microelectronics Corporation (UMC)

Smart-fab AI at Fab 12A, a WEF Lighthouse factory

UMC's Fab 12A became a Lighthouse factory and reported 97% yield after a smart-fab programme with AI at its core

WorkingCompany's own claim

Problem

A mature-node wafer fab runs thousands of tools and many possible wafer routes. Defect causes are hard to trace, bottleneck tools cause waiting, and design kits for customers take time to deliver.

Approach

UMC's Fab 12A in the Southern Taiwan Science Park used image recognition with automated anomaly search to find defect root causes. An AI algorithm tied to the automated material handling system planned the transport path for each wafer. Machine-learning prediction and smart gas switching targeted bottleneck tools, and machine-learning tools shortened design-kit delivery. UMC said about 95% of its 48-plus solutions were developed in-house.

Results

97%product yield at Fab 12A, per UMC, a result of the smart-fab programme as a wholeCompany's own claim[1]
47%increase in work efficiency, per UMC, a result of the smart-fab programme as a wholeCompany's own claim[1]
57%shorter design-kit delivery time, per UMC, a result of the smart-fab programme as a wholeCompany's own claim[1]

Takeaway

The results belong to the whole smart-fab programme, which also includes non-AI work. The source does not say how much came from AI.

Categories

Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]TechNews14 Jan 2025

Report on Fab 12A being named a World Economic Forum Lighthouse factory. It lists the AI systems used and gives yield of 97%, a 47% rise in work efficiency and a 57% cut in design-kit delivery time. The figures are UMC's and are not split by technology.

Full details are in the original sources.

Added 2 Nov 2026 · Updated 2 Nov 2026
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