Maintaining a fleet of assets requires a nuanced understanding of what’s running smoothly—and what isn’t. A modern maintenance strategy must be data-driven, helping teams see pre-existing maintenance activities while also simulating future maintenance needs. But the immense volume and complexity of today’s organizational data doesn’t make it easy to achieve this ideal state.
Teams need fast answers driven by trustworthy AI to show them how to respond to events, optimize resources, and improve overall readiness.
Disconnected Data Leaves Teams in the Dark
Maintenance operational leaders are overwhelmed with siloed information, which hinders effective decision-making. Teams who can’t see and understand the big picture can’t take action to minimize disruptions and keep the business running.
Virtualitics’ AI-powered Maintenance Decision Intelligence (MDI) application combines data across Asset Management (EAM), Resource Planning (ERP), and Field Service Management (FSM) systems. The app delivers efficient analyses and actionable insight, answering critical questions about potential failures, optimal responses, and the impact of actions on sustainment operations.
MDI defines a reference schema that enables automation for integrating the data and insights across your maintenance operations technology stack. Teams can locate opportunities for uptime improvements and mitigate risks more efficiently. Furthermore, the AI guides teams to answer critical questions like:
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- What is about to fail?
- How should we respond?
- What would happen if we took this action
- How can we prepare for the future?
Virtualitics MDI Application Enhances Maintenance Strategies
Virtuaitics was recently awarded the Globee Golden Bridge Award for Asset Management Innovation for our outstanding Maintenance Decision Intelligence (MDI) Application. MDI is a powerful tool for combining and analyzing data, providing clear direction in complex maintenance environments.
Let’s look at five ways businesses can leverage AI to enhance their operations:
Predictive Maintenance
While knowing when equipment will fail can solve a lot of headaches, there are more benefits—and savings—in knowing how to keep a piece of machinery from failing at all. Virtualitics analyzes historical maintenance data, sensor data, and asset usage data to build AI models that project the risk of component failures. Our app assigns risk scores to individual components and uses explainable AI to make recommendations on the best course of action.
Resource Availability Optimization
MDI can identify limiting factors in resource availability across inventory, staffing, and repair equipment based on current, scheduled, and predicted maintenance needs. This streamlines the work order management process by automatically generating, prioritizing, and assigning work orders based on real-time resource constraints, historical trends, and impact on uptime.
Scheduling Optimization
Virtualitics’ AI-generated scheduling optimizes resources across availability constraints, all maintenance needs, asset usage, and uptime requirements. This way maintenance tasks are carried out efficiently and critical issues are addressed promptly, improving overall maintenance workflow and reducing administrative overhead.
Inventory Optimization
Virtualitics can predict demand for spare parts and supplies based on historical usage patterns and current equipment conditions. This reduces the risk of stockouts and excess inventory so that the right parts are always available without tying up unnecessary capital in inventory.
Lookahead Analysis
Without AI it can be incredibly challenging to continuously track the health of equipment, let alone consider the possibilities available for teams to take advantage of. Virtualitics’ MDI app runs simulations of asset usage over time so you can strategically plan how and when to address maintenance needs to create best-case scenarios.
Be Prepared for Anything
Virtualitics’ MDI app gives teams an unparalleled level of efficiency and insight, integrating data and insights across EAMs, ERPs, and FSMs to enhance decision-making for maintenance operations.
As AI continues to evolve and mature, its role in driving maintenance success will only become more critical. By leveraging Virtualitics, businesses can adopt a proactive approach and continuously evolve their maintenance practices to stay ahead of any challenges that lie ahead.
