Predictive Maintenance case-studies from Minerals Industry
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
About The Customer
A large iron ore mining company in Australia
The 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.
The 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,
Operational Impact
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