AI-Powered

AI-Powered Predictive Maintenance
Increases Equipment Lifespan and Production Uptime

Every organization strives to keep its supply chain running smoothly. Ensuring asset availability and performance is crucial to achieving this. AI-powered predictive maintenance helps businesses forecast equipment health and schedule maintenance before problems arise.

AI-powered predictive maintenance achieves 92% accuracy, outperforming traditional methods at 78%.

Challenges of Traditional Asset Maintenance Approach

A global logistics provider was struggling with conveyance equipment in its distribution centers. The company wanted to assess equipment health across its facilities in real-time and target maintenance interventions before a failure happens. Traditional methods of maintenance involve unsolicited interventions that increase both operational costs and equipment downtime.

Machinery failures are fixed only when issues occur

Maintenance is done solely based on predefined schedules

Under- and over-maintenance causing unwanted downtimes and costs

Underutilization of asset- and sensor-generated data

Maintenance personnel lose their quality time troubleshooting

Operational disruptions, costly production halts, and safety risks

The Solution:
AI-Powered Predictive Maintenance

To identify conveyance equipment lifespan across its facility network, the logistics provider implemented a predictive maintenance solution powered by AI. The solution collects data from sensors to make predictions about the future condition of conveyance equipment so the logistics provider can avoid unwanted operational disruptions.
AI-Driven Failure Prediction:

AI analyzes historical asset performance data and real-time sensor data to create a predictive model of equipment breakdown. It helps avoid outright equipment failure.

 

Condition-Based Monitoring:

AI algorithms constantly monitor and analyze equipment condition in real-time to identify defects and anomalies. It helps in scheduling maintenance based on actual conditions, not a predefined schedule.

Alerts and Diagnostics:

Predictive AI models can estimate when a piece of equipment is likely to fail based on current and past data patterns. AI can trigger alerts to maintenance personnel when any potential defect is identified.

 

The Impact of AI-Driven Predictive Maintenance

reduction in facility downtime
0 %
reduction in inventory carrying costs
0 %
improvement in vehicle uptime
0 %

Manufacturers Using AI in Predictive Maintenance Report:

fewer defects
0 -90 %
overall savings
8– 0 %
increase in production
20– 0 %

Benefits of AI-Enabled Predictive Maintenance

Reduce machine outages with more accurate and faster predictions

Keep production lines rolling by boosting labor productivity

Improve occupational safety, health, and environmental compliance

Extend the lifespan, uptime, and performance of assets

Cut defect rates and production costs, improving quality and consistency

Reduce unwanted inspections, repairs, and costly replacements

Flag issues and recommend life-saving maintenance actions

Keep supply chains flowing, boosting productivity and revenue

How Can Fingent Help With Your Predictive Maintenance Requirements?

At Fingent, we help our clients build tailored AI solutions, boosting their flexibility and intelligence needed to minimize downtime and optimize operational efficiency. We help businesses embrace data-driven processes to ensure safer maintenance practices.

AI and ML model development to predict asset performance and maintenance needs

AI integration into your existing workflow to enable data-driven maintenance decisions and optimize asset performance

Data analytics and visualization services to offer businesses a single source of truth

Enterprise asset management solutions with advanced forecasting and condition-based maintenance

IoT and AI-powered remote equipment monitoring solutions to help asset managers

Key Takeaways

AI-driven predictive maintenance can:
Prevent failures and production downtimes by continuously monitoring asset health, predicting risks, and applying maintenance checks
Extend the lifespan of your assets and delay their replacement by reducing wear and tear
Apply targeted maintenance to minimize waste and cut the cost of spare parts and labor
Gain insights into energy consumption, optimizing maintenance schedules and resource usage

Explore More Use Cases

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Want to know how AI can enhance your equipment maintenance workflow?

Let’s connect to discuss the possibilities of AI.
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