Condition-Based Maintenance Workflow

Optimize your asset reliability and eliminate unplanned downtime with our Condition-Based Maintenance (CBM) Workflow. Master the art of predictive maintenance by integrating real-time sensor data, automated health monitoring, and streamlined inspection triggers to transition from reactive repairs to proactive precision management.

Start
1. Fetch Sensor Telemetry Data
2. Calculate Health Score
3. Fetch Equipment Thresholds
4. Identify Threshold Breach
5. Calculate Average Running Hours
6. Create Anomaly Incident
7. Assign Inspection Task
8. Create Work Order
9. Notify Plant Manager
10. Urgent Technician Alert
11. Update Asset Status
12. Retrieve Spare Parts Inventory
13. Estimate Repair Cost
14. Create Parts Requisition
15. Generate Monthly Reliability Report
16. Clear Temporary Alert Logs
End

Start of the Workflow/Process.

Retrieve recent vibration, temperature, and pressure readings from the Asset IoT data model.

Execute a formula weighing temperature, vibration, and hours of operation to determine a degradation percentage.

Get the predefined maximum allowable limit values for the specific asset being analyzed.

Compare the calculated Health Score against the Equipment Thresholds to determine if an alert is triggered.

Aggregate all historical maintenance logs to find the average time between failures for this machine type.

Create a new entry in the 'Incidents' data model when a threshold breach is detected.

Create a task for the Maintenance Technician to perform a physical inspection of the asset.

Generate a formal Work Order task in the Maintenance module if the inspection fails.

Send an email alert to the Plant Manager regarding the critical equipment status change.

Send an SMS to the on-call technician if the anomaly score exceeds the 'Critical' threshold.

Update the 'Status' field in the Equipment data model from 'Operational' to 'Under Maintenance'.

Check the 'Inventory' data model to see if required replacement parts are available in stock.

Calculate the estimated cost by summing part prices and estimated labor hours.

If parts are missing, create an entry in the 'Purchase Requests' data model.

Create a summary report aggregating all maintenance incidents and downtime duration for the month.

Delete transient/temporary alert entries from the system once the incident has been resolved and closed.

End of the Workflow/Process.

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