Boost reliability with AI-driven maintenance strategies
A maintenance program to fit any organization
Struggling to scale reliability-centered mantenance (RCM) studies? IBM Maximo Reliability Strategies, built with IBM watsonx, helps you optimize equipment availability by minimizing asset replacements and reducing maintenance costs. Shifting away from run-to-failure or reactive maintenance requires a deeper understanding of how your equipment can break down—and proactively mitigating failures before they happen. As part of IBM Maximo Application Suite, it seamlessly integrates with your EAM and APM data, providing a unified view of asset health. With a purpose-built application and an extensive FMEA content library, it streamlines RCM studies, optimizes preventive maintenance (PM) schedules, and enables AI-assisted failure mode analysis., In turn, you are empowered to drive smarter, data-driven reliability decisions at scale.
What you can do
Identify potential equipment failures and mitigate their impact
For teams without existing Reliability-Centered Maintenance (RCM) studies, the Reliability Strategy Library provides an essential starting point. By accessing a comprehensive database of failure modes, users can proactively detect and address equipment failures before they escalate, minimizing downtime and operational risks.
- Get started with reliability best practices—no prior studies needed.
- Quickly identify failure modes and associated risks.
- Develop targeted mitigation strategies to enhance reliability.
- Identify wear-out patterns, eliminate inefficiencies, and map PM tasks to failure modes.
Create and customize your own FMEA studies
Further optimize and implement maintenance strategies to fit your specific equipment, operating conditions, and past failure data. Gain clear insights into failure modes, analyze equipment health, and make data-driven decisions to optimize predictive maintenance
- Use the library as a foundation to build custom failure modes.
- Manually refine failure modes or import existing FMEA studies.
- Adapt analyses based on real-world operating conditions.
- Improve decision-making by aligning failure insights with business needs.
Accelerate failure mode creation with Gen AI-powered Failure Mode Builder
Leverage generative AI to instantly create accurate, asset-specific Failure Modes. This automation saves time, reduces manual effort, and enhances your maintenance strategy with precise, AI-driven insights into asset health and potential risks tailored to your assets.
- Automate study creation, reducing manual effort and increasing accuracy.
- Continuously refine failure modes with AI-driven recommendations.
- Scale reliability strategies faster with intelligent automation.
Optimize PM schedules with RCM insights
Develop and refine proactive maintenance plans by integrating Preventive Maintenance (PM), Predictive Maintenance (PdM), and other strategies. By leveraging FMEA insights and AI-driven recommendations, you can prioritize critical assets, minimize downtime, and optimize maintenance execution.
- Develop data-driven maintenance plans tailored to specific asset needs.
- Integrate PM, PdM, and other maintenance approaches into asset workflows.
- Prioritize critical assets to maximize operational efficiency and reliability.
- Automate maintenance scheduling and tracking to ensure timely execution.
RCM application in Maximo
Provides an application and a comprehensive library to streamline Reliability-Centered Maintenance (RCM). Easily create, edit, or import FMEAs, conduct RCM studies, apply failure modes with risk-based mitigations, and track actions. Leverage 25 years of expertise with 800+ equipment types, 58,000+ failure modes, and 50,000+ PM tasks to enhance maintenance strategies.