AIUPS Case Study: Leading Display Manufacturer

PROBLEM

Customer Challenges & Requirements

Industry

Display Manufacturing

Customer Requirement

Achieve a high quality standard with no bright or dark pixel defects.

Challenges Before Implementation

The original inspection rate was only 5%. To meet the required quality standard by increasing conventional sampling alone, inspection costs would rise by 240×, while production time would increase by more than 20%.

SOLUTION

NexusAI Solution

By implementing AIUPS predictive analytics, the customer increased inspection coverage from 5% sampling to 100% inspection, supporting zero-defect manufacturing.

Automated Analysis & Modeling

Identify critical equipment parameters even with limited sample data.

AI Online Risk Control & 100% Process Inspection

Use AI prediction to move beyond sampling inspection and enable comprehensive quality control.

Advanced Process Control

Integrate with the RtR control system to improve process quality and yield.

RESULT

Results & Business Impact

100% Inspection Coverage

Expanded quality inspection from 5% sampling to 100% inspection.

20%+ Increase in Production Speed & Capacity

Faster and more stable process adjustments reduce the time and labor previously spent on inefficient sampling inspections.

Reduced Risk of Misjudgment

Lower the risk of scrap and rework caused by incorrect quality decisions.

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Proven Case