Coal ETA Prediction & Delay Alerts for Thermal Power Plants India

For a thermal power plant, coal stock-out is not a logistics problem — it is a generation loss event. A plant running at 500 MW with 7 days of coal stock has zero margin for inbound supply disruption. ETA prediction and delay alerts are the early warning system that prevents stock-out.

Why ETA Prediction Matters for TPPs

Coal inbound logistics to thermal power plants is high-frequency and time-sensitive:

Large plants receive 400–1,600 trucks per day

Coal stock days are monitored in real time by plant management and state utilities

Seasonal demand peaks (summer) coincide with peak pilferage pressure

Transport disruptions (road blocks, floods, agitations) need immediate escalation to procurement

Without real-time inbound visibility, the first sign of a supply problem is when the coal yard stock counter drops — too late for corrective action.

How Intugine ETA Prediction Works

Live position-based ETA: Each truck's current GPS position, speed, and historical travel time on the specific corridor generates a dynamic ETA — updated every minute.

Delay classification:

Green: On track ±15 minutes of scheduled arrival

Amber: 15–60 minutes delayed — monitoring enhanced

Red: 60+ minutes delayed — alert issued to plant fuel management team

Proactive delay reasons: Control tower analysts contact delayed trucks to capture reason — traffic, breakdown, hold at intermediate checkpoint, or suspicious halt. Reason is logged and communicated to the plant team.

Coal Yard Stock Integration

Intugine's inbound tracking integrates with plant coal yard management:

Rolling 24-hour and 72-hour inbound forecast based on trucks currently in transit

Stock days projection updated in real time as trucks arrive and are confirmed

Alert to fuel management head when projected stock days drop below threshold (configurable: 3 days, 5 days, 7 days)

Seasonal Peak Management

Summer peak demand typically requires 20–30% more inbound volume. Intugine's platform scales transparently — additional trucks added to the monitored fleet without configuration changes. Historical summer corridor data informs risk zone calibration for peak periods.