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

The Convergence of Predictive and Preventative Maintenance for Mill Reliability

General Electric

Technology Category	Analytics & Modeling - Predictive Analytics Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Metals
Applicable Functions	Maintenance
Use Cases	Asset Health Management (AHM) Predictive Maintenance
Challenge	Gerdau was looking to reduce their annual maintenance spend while also improving productivity, thus targeting margin improvements within their manufacturing operations. Read More
About Customer	A leading steel manufacturer Read More
Customer Name	Gerdau Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Metals

Applicable Functions

Maintenance

Use Cases

Asset Health Management (AHM)

Predictive Maintenance

Challenge

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

About Customer

A leading steel manufacturer

Customer Name

Gerdau

Solution

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.

Impact #1	[Efficiency Improvement - OEE] Early identification of issues to allow significant time to plan the appropriate PM activities to avoid functional failures.

Impact #1

[Efficiency Improvement - OEE]

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

Benefit #1	Avoided130 hours of downtime in their Sinter plant
Benefit #2	Annual savings from their new capabilities are expected be $4.5 million per year

Benefit #1

Avoided130 hours of downtime in their Sinter plant

Benefit #2

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

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Overview

The Convergence of Predictive and Preventative Maintenance for Mill Reliability

Operational Impact

Quantitative Benefit