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.
Related maintenance solutions
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.