According to POSCO Group Newsroom, employee participation in PIMS—POSCO Intelligent Maintenance System—expanded particularly across 22 maintenance districts at Pohang Works.
MetalMate summary of the linked evidenceCommercial context
Analysis: Broader frontline use of predictive monitoring could support earlier fault detection and improve equipment reliability. However, the disclosed totals alone do not quantify effects on downtime, maintenance costs or steel production.
MetalMate analysis- POSCO reported 11,551 PIMS logic routines and 586 predictive-maintenance results.
- Highlighted applications included drive-system monitoring for minor oil leaks associated with the plate process.
- Other selected cases covered abnormality monitoring in the slab model section of continuous caster No. 4 and intelligent threshold monitoring for flow control in plate-process instrumentation.
Watch for quantified evidence of operational impact, including avoided outages, downtime reduction and maintenance-cost savings, as well as wider deployment across Pohang Works.
Source & methodology +
MetalMate separates original-source evidence from summary and analysis. Verify the original source before procurement, legal or engineering decisions.
- Article status
- Published · Version 1
- Source date
- Not supplied
- MetalMate publication
- 7 October 2026
- Verification
- Automated evidence checks; not human reviewed
포스코 포항제철소, PIMS Tech Day 개최 — POSCO Group Newsroom
MetalMate provides an English summary; consult the original wording.

