PREDICTIVE MAINTENANCE
Optimize Maintenance with Mobile Tools
Enhance asset reliability with analytics-driven, condition-based predictive maintenance solutions.
OVERVIEW
Transform Maintenance with Predictive Intelligence
Leverage IBM Maximo Health and Predict to monitor asset conditions, predict failures, and optimize maintenance planning. Powered by IoT data and advanced analytics, these solutions reduce downtime, extend asset life, and ensure operational efficiency.
IBM Maximo Health
Smarter Asset Management with IBM Maximo Health
IBM Maximo Health integrates IoT data, asset records, and analytics to deliver actionable insights into asset health. With a single, intuitive dashboard and flexible health scoring, it helps improve availability, optimize preventive maintenance, and reduce operational risks.
Benefits of IBM Maximo Health
Maximize asset availability and streamline maintenance with IoT-driven health monitoring and analytics.
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Reduce Failures: Monitor asset conditions with IoT sensors to reduce costly and frequent breakdowns.
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Increase Availability: Track conditions and performance to minimize downtime and optimize resource allocation.
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Optimize Maintenance: Combine sensor data and asset records to replace unnecessary preventive maintenance with actionable insights.
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Reduce Risk: Focus on critical assets with detailed health assessments.
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Streamline Replacement Planning: Use powerful analytics to make data-driven capital replacement decisions efficiently.
IBM Maximo Predict
Predict the Future of Asset Health with IBM Maximo Predict
IBM Maximo Predict combines IoT data and machine learning to forecast asset failures, reduce maintenance costs, and improve operational reliability.
Benefits of IBM Maximo Predict
Predict failures and enhance asset utilization with machine learning-powered predictive maintenance.
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Minimize Downtime: Predict failures early to prevent unplanned outages and reduce risks.
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Lower Maintenance Costs: Avoid excessive maintenance by scheduling repairs only when necessary.
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Boost Asset Utilization: Use predictive insights to improve efficiency and performance.
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Extend Asset Lifespan: Identify and address performance issues to maximize operational life.
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Increase Output: Ensure dependable manufacturing processes for higher production efficiency.
Real-World Applications of Predictive Maintenance
See how IBM Maximo Health and Predict transform maintenance planning and asset management.
Monitoring Critical Equipment in Energy
Solution: IBM Maximo Health
Problem: Frequent equipment failures led to operational delays and increased maintenance costs.
Outcome: Reduced downtime by 30% with IoT-driven health monitoring and timely maintenance actions.
Reducing Downtime in Manufacturing
Solution: IBM Maximo Predict
Problem: Unplanned downtime disrupted production schedules and increased costs.
Outcome: Predictive models reduced breakdowns by 40%, improving asset reliability and output efficiency.
