Steel Manufacturing: Eliminate Expenditures
Case Study: Steel Manufacturing
Eliminate multi-million dollar expenditures
A large steel manufacturer understood the criticality of its aging fleet but lacked data on its condition which led to costly and inefficient reactive maintenance and unexpected downtime.
The mill’s existing data was tied up in historians and filing cabinets, making it difficult to connect information. Without a full understanding of asset health, the mill estimated that it needed to replace a significant portion of its tanks, putting the mill and its workforce at risk.
Results
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Annual value creation
$40M
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Return on investment
5x
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Reduced unplanned downtime
30 %
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Discover how this leading steel mill leveraged AI and robotic powered data to optimize capital allocation while ensuring reliability.