Overview
A data foundation built for manufacturing quality
A leading display panel manufacturer in Taiwan produces large inspection images that are divided into vast numbers of smaller files for defect review and analysis. Automotive programs add long retention requirements, extending the data horizon to as much as 15 years.
Challenge
Inspection growth had outpaced line-side storage
The legacy DFS, NAS, and database architecture was difficult to expand and lacked automated tape tiering. Tens of billions of files were spread across systems; batch search and download were slow, machine-side data was difficult to govern, and quality analysis required cumbersome data movement.
- Tens of billions of small files exceeded the practical limits of the legacy DFS architecture.
- Automotive programs required quality records to remain available for up to 15 years.
- Large batch searches and downloads delayed defect review and customer response.
Solution
One governed platform for the complete data lifecycle
IDM creates a unified hot-and-cold namespace with elastic object storage underneath. Equipment data is indexed at ingestion, recent records remain online for quality review, and cold records can move automatically to tape while their metadata stays searchable. Browser-based preview, annotation, watermarking, and batch download streamline controlled collaboration.
One searchable namespace spans active object storage and archived data.
Automated tiering moves cold content while keeping metadata immediately available.
Integrated preview, annotation, watermarking, and batch export support governed collaboration.
Results
Measurable value at production scale
The new platform returns results within seconds at 100-billion-file scale and improves representative batch-retrieval efficiency by more than 100 times. Quality-management work is faster, long-term evidence remains accessible, and infrastructure cost is reduced through compression and tiering.
- Seconds-level response at 100-billion-file scale accelerates quality traceability.
- Representative batch-retrieval workflows improve by more than 100 times.
- Quality-management efficiency rises by about 50%, with total cost reduced by more than half.
Customer identity and selected implementation details have been anonymized to protect confidentiality. No source diagrams or architecture images are reproduced in this article.
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