Asset Performance Management


Using the comprehensive Asset Performance Management (APM) portfolio offered by AVEVA, organisations can monitor their assets to identify, diagnose and prioritise impending equipment problems — continuously and in real time. This enables companies to reduce unscheduled downtime, prevent equipment failures, reduce maintenance costs, increase asset utilisation, extend equipment life and identify under performing assets.

Empower your Front Line to Act Before Costly Failures Occur

Changing market conditions and shifting technology landscapes puts pressure on industrial businesses. Technology triggers like the Industrial Internet of Things, big data analytics, mobility and workforce collaboration represent new opportunities for significant reliability, efficiency and safety improvements.

Shifting from reactive to proactive and predictive maintenance 

With Asset Performance Management (APM) solutions, personnel can exceed safety, reliability, and performance goals through data collection and analysis coupled with actions and optimisation for proactive and optimised maintenance execution. As a result, plant personnel are empowered to act before equipment failure occurs, maintenance and operations costs are reduced, and the overall maintenance and operations strategy supports key business objectives.

AVEVA APM Portfolio:

Asset Information Management
Enable actionable insights with enterprise data management and reporting solutions available on premise or in the cloud.

Asset Analysis
Proactive and predictive maintenance empowers personnel to act before costly failures or downtime occurs. Our comprehensive analytics solutions enable customers to proactively plan maintenance and reduce costs.

Asset Maintenance
We offer advanced solutions leveraging cloud, mobility, and augmented reality to transform and empower the mobile workforce, increase collaboration, provide comprehensive asset and materials management, and efficient maintenance execution to optimise the availability of all assets.

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