Predictive maintenance
Predictive maintenance in D365 is an advanced asset management strategy that uses IoT sensor telemetry and machine learning models to analyze equipment health in real-time, predicting potential component failures before they occur and triggering automated work orders.
Why predictive maintenance matters
In modern manufacturing, reactive repair is a legacy expense. Predictive maintenance leverages IoT-driven telemetry to monitor the health of capital equipment. By analyzing vibration, temperature, and cycle counts, Microsoft Dynamics 365 Supply Chain Management can detect anomalies that precede a breakdown.
How D365 drives predictive outcomes
- Sensor telemetry: Capturing live data from machines via the Internet of things (IoT).
- AI analysis: Using machine learning models to forecast the Remaining Useful Life (RUL) of critical components.
- Automated response: Generating maintenance work orders automatically before a failure interrupts the discrete manufacturing line.
Optimizing your asset strategy
If your current maintenance strategy is lagging, an Dynamics 365 audit can help identify which equipment assets are prime candidates for predictive optimization.
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Who are we?
We're DeliveredSoft, an Microsoft Dynamics 365 Partner based in Europe. With experts in Poland, Denmark and Spain, we build custom solutions using Microsoft Dynamics 365 for clients across a range of industries.