Case Study Semiconductor

Reducing unplanned downtime by 78% through predictive sensor reasoning

A European semiconductor fab reduced unplanned downtime by 78% — recovering $31M in annual production capacity — by applying LLM reasoning to 100% of equipment sensor data rather than the 8% being processed under their previous system.

78%

Reduction in unplanned downtime

$31M

Annual production capacity recovered

8% → 100%

Equipment sensor coverage

72-96 hrs

Average advance warning before equipment failure

340

Critical assets under full LLM reasoning

$31M : $890K

Return on investment Year 1

The Organisation

European Semiconductor Fabrication Facility · Semiconductor

The Challenge

Semiconductor fabrication equipment is extraordinarily expensive to maintain and replace. Unplanned downtime in a fab costs approximately $2M per hour in lost production. The facility was processing 8% of sensor data from their 340 pieces of critical equipment — the rest was dropped at the edge to manage data pipeline costs. Predictive maintenance models built on sampled data were missing early failure signatures that only appeared consistently at full sensor coverage.

The Approach

Full sensor coverage across all 340 critical equipment assets. LLM reasoning configured to identify progressive degradation signatures specific to each equipment type, with maintenance recommendations delivered to the operations team 72-96 hours before predicted failure.

"Unplanned downtime at $2M per hour is an existential risk. We were predicting failures from 8% of the available signal. Moving to full coverage was the single highest-ROI infrastructure decision we've made."

Director of Fab Operations

Key Finding

The most significant early win was identifying a class of pump failures that had been categorized as random and unpredictable for three years. Full sensor coverage revealed a consistent 14-day degradation signature preceding each failure — a pattern that became statistically significant only when all sensor channels were included in the analysis. Scheduled replacement based on this signature eliminated the failure class entirely within 6 months.

Results at a Glance
Reduction in unplanned downtime 78%
Annual production capacity recovered $31M
Equipment sensor coverage 8% → 100%
Average advance warning before equipment failure 72-96 hrs
Critical assets under full LLM reasoning 340
Return on investment Year 1 $31M : $890K
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