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A 30% reduction in unplanned downtime leads to 4% lift in gross profit for this manufacturer
Reduced Downtime and Higher Throughput
Before we deployed the Asset Health AI application, unplanned mill downtime was a costly issue for our customer, a multi-billion-dollar global steel producer.
Ch. 01
More than ten leading software vendors, including large enterprise software providers, specialty software shops and consulting firms competed for the best results.
Even while it's visualizing high-frequency multivariate signals across complex and varying asset hierarchies, the application makes challenging data easy to access and use.
Noodle.ai was selected as the AI solution partner with superior predictive capabilities and demonstrated results; an operating model, people, and approach that is transparent and educational; and deep metals industry expertise.
Two AI Engines to Power Asset Health
The Asset Health AI implementation extends across the majority of this customer's manufacturing processes, addressing 140 unique failure-modes. From continuous casting, to hot rolling, to cold rolling, to the galvanizing lines, data pipelines fuel two important AI inference engines.
Ch. 02
Increased Revenue. Reduced CAPEX & OPEX.
The goal was simple, the outcomes clear:
- maximized revenue with increased uptime,
- less CAPEX by extending the life of factory equipment, and
- less OPEX by limiting unnecessary preventive maintenance.
Ch. 03
~30%
Reductions in downtime across plants and assets
4%
Positive impact on gross profit
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