Data Driven & Reliability Centered Maintenance: Exploring IBM Maximo Health
In today’s fast-paced industrial environment, maximizing asset performance and minimizing downtime are crucial. IBM Maximo Health steps in by delivering intelligent, data-driven insights into the real-time condition of your assets, enabling a reliability-centered maintenance (RCM) approach. This not only boosts asset uptime but also enhances efficiency, reduces risks, and protects revenue. With Maximo Health, you gain critical insights into each asset’s Health, Criticality, and Risk - empowering you to make informed maintenance decisions.
Health Score:
The Health Score reflects the current condition or performance of an asset. It’s calculated using factors such as asset age, mean time between failures (MTBF), and meter readings—real-time sensor data streamed from Maximo Monitor. This comprehensive view helps users evaluate how well their assets are performing and identify potential issues early on.
Criticality Score:
The Criticality Score determines how essential an asset is to your overall operations. Factors contributing to this score include the Asset Criticality set in Maximo Manage and lead times for acquiring replacement assets. A high criticality score indicates an asset that is vital to keeping operations running smoothly.
Risk Score:
Risk is assessed by the likelihood of an asset failure and the potential consequences that failure could have on safety and financial performance. For example, risk assessments may consider the asset’s remaining useful life, MTBF, and lead times for replacement. This helps you prioritize assets that pose a higher risk of failure and take preventive action.
Work Queues & Risk Matrix:
Maximo Health’s Work Queues and Risk Matrix tools allow users to quickly identify low-health, high-risk assets. By prioritizing maintenance tasks based on these factors, you can focus on assets that are critical and at higher risk of failure - reducing the impact of asset downtime on your operations.
Seamless Integrations with Other MAS Applications:
Maximo Health seamlessly integrates with other applications in the suite to provide a comprehensive reliability centered maintenance solution to users.
Manage:Asset registry data, including installation dates, design life, MTBF, and maintenance costs, flow from Maximo Manage to Maximo Health, providing essential data for calculating health, criticality, and risk scores. MRR (Maintenance-to-Replacement Ratio) helps organizations determine whether it is more cost-effective to continue maintaining an asset or to replace it entirely. A work order to take corrective action can be created in Manage from Health.
Monitor:
Sensor readings and derived metrics from Maximo Monitor are sent to Maximo Health as Meter Readings via Maximo Manage. These readings, combined with condition-based maintenance thresholds, provides the real time insights into the health of your assets.
Predict:
When Maximo Predict is installed, its predictive analytics features are directly embedded within Maximo Health. Alongside health scores, users can view predicted failure dates, anomaly scores, and failure probabilities - giving you an even clearer picture of asset health and risk.
With IBM Maximo Health, you have a powerful tool to drive smarter, reliability-centered maintenance across your organization. Stay tuned for more insights into the innovative features and functionalities of the Maximo Application Suite!
About Khalid Sayyed
Khalid Sayyed is a Maximo Consultant with over 15 years of industry experience, primarily in IBM Maximo and Cognos analytics. He has worked on multiple Maximo implementations and on support/administration projects, leading teams of developers and consultants. He has extensive experience working with IBM Maximo infrastructure & architecture, integrations, administration, upgrade, configurations, customizations, analytics, and end user/admin trainings. Khalid is very passionate about IOT, Data science and its applications to reliability industry for predictive maintenance.