General Electric Case Studies The Convergence of Predictive and Preventative Maintenance for Mill Reliability
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The Convergence of Predictive and Preventative Maintenance for Mill Reliability

General Electric
Analytics & Modeling - Predictive Analytics
Functional Applications - Remote Monitoring & Control Systems
Metals
Maintenance
Asset Health Management (AHM)
Predictive Maintenance

Gerdau was looking to reduce their annual maintenance spend while also improving productivity, thus targeting margin improvements within their manufacturing operations. 

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A leading steel manufacturer
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Gerdau
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Gerdau partnered with GE to implement some of our industrial solutions, including Asset Performance Management (APM) and Historian, as well as leverage GE's Industrial Managed Services for remote monitoring—allowing them to focus on their critical subset of assets using predictive diagnostics. This technology enabled Gerdau to model their expected performance of each individual asset and its failure modes against actual conditions of various measurement points on an asset or system. 

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[Efficiency Improvement - OEE]

Early identification of issues to allow significant time to plan the appropriate PM activities to avoid functional failures. 

Avoided130 hours of downtime in their Sinter plant

Annual savings from their new capabilities are expected be $4.5 million per year

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