SAP Case Studies Predictive Maintenance case-studies from Minerals Industry

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	Predictive Maintenance case-studies from Minerals Industry SAP

Predictive Maintenance case-studies from Minerals Industry

SAP

Technology Category	Analytics & Modeling - Predictive Analytics Functional Applications - Enterprise Asset Management Systems (EAM) Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Mining
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	To develop a reliable and integrated asset management platform: The objective of the platform was to support condition-based monitoring in order to keep in check the asset’s health, predict failure or breakdowns and ensure proactive maintenance decision-making on the basis of the historic data. Read More
About Customer	A large iron ore mining company in Australia Read More
Customer Name	Undisclosed Read More
Solution	The implementation of this method of proactive maintenance was done by Advisian through specific software installation and configurations for condition-based monitoring. Advisian successfully completed successful integration of SAP PM (predictive maintenance) which is a functional module to manage equipment on the production floor. They also developed a maintenance strategy for their clients, which helped them achieve health and performance monitoring for critical mine processing equipment. Read More Log in to view content
Data Collected	Equipment Status, Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Functional Applications - Enterprise Asset Management Systems (EAM)

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Mining

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

To develop a reliable and integrated asset management platform:

The objective of the platform was to support condition-based monitoring in order to keep in check the asset’s health, predict failure or breakdowns and ensure proactive maintenance decision-making on the basis of the historic data.

About Customer

A large iron ore mining company in Australia

Customer Name

Undisclosed

Solution

The implementation of this method of proactive maintenance was done by Advisian through specific software installation and configurations for condition-based monitoring.

Advisian successfully completed successful integration of SAP PM (predictive maintenance) which is a functional module to manage equipment on the production floor.

They also developed a maintenance strategy for their clients, which helped them achieve health and performance monitoring for critical mine processing equipment.

Data Collected

Equipment Status,

Impact #1	[Cost Reduction - Maintenance] The evident outcomes resulted in a cost efficient predictive maintenance approach
Impact #2	[Efficiency Improvement - OEE] A significant reduction of equipment downtime

Impact #1

[Cost Reduction - Maintenance]

The evident outcomes resulted in a cost efficient predictive maintenance approach

Impact #2

[Efficiency Improvement - OEE]

A significant reduction of equipment downtime

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Overview

Predictive Maintenance case-studies from Minerals Industry

Operational Impact