Keeping assets at peak performance is a complex, never-ending process. A computerized maintenance management system (CMMS) can help by automating work orders and workflows, scheduling labor and managing materials. But as assets become smarter and more connected, maintenance management solutions must evolve from simply reacting to an event to more preventive and predictive actions.
To extend asset lifecycles, control costs and efficiently use limited resources, look for solutions that add automation, IoT data, analytics and AI into your maintenance strategies.
Reduce waste by extending the history and health of each asset, eliminating unplanned maintenance trips and making smarter maintenance decisions.
Use predictive capabilities to anticipate problems, staff appropriately with the right skills, and reduce unnecessary maintenance.
Spot anomalies, identify underperforming assets and predict future failure probability to avoid unplanned downtime and time replacement decisions.
Empower your operations, quality and maintenance teams with AI-driven APM solutions to drive operational resilience.
Optimize your maintenance, repair and operations inventory by providing an accurate, detailed picture of performance.
Riyadh Airports Company chose Maximo as the foundation for modernizing maintenance operations to transform King Khalid airport into a show-stopping gateway to Saudi Arabia.
IBM Watson® IoT technology and predictive analytics are helping Sandvik better predict and prevent equipment breakdowns.
Two decades working with Maximo means CHS has seen preventive maintenance move to predictive with the cloud and IoT.
To meet high safety standards, Universal Parks uses IBM Maximo to provide technicians with the tools needed to optimize maintenance in multiple daily ride inspections.
These five case studies demonstrate predictive maintenance can be applied to and benefit a wide range of industry sectors.
Read about the preventative, predictive and prescriptive actions used to help maintain equipment, optimize performance, increase operational efficiency and avoid downtime.
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Discover how AI and machine learning helps operators visualize critical data while addressing asset maintenance and operations.
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Learn about software that helps manage assets, schedule maintenance and track work orders.
See how machine learning and neural networks teach computers to see defects before they affect operations.
Discover how, machine learning, operational data analytics and predictive asset health monitoring, can help optimize maintenance and improve reliability.
Explore a wide variety of blogs and posts about asset management and maintenance, including top trends, blockchain, IoT and more.
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