Service registers vs reality across continuous mining systems.
Lignite mining at NLC operates differently from coal — continuous mining systems, large conveyor infrastructure, and dozens of HEMM units on overlapping service schedules. Tracking 250-hour, 500-hour, 1000-hour, 2000-hour, and 5000-hour service requirements across this fleet — manually, through service registers — meant constant reactive scheduling.
Maintenance often slipped. Equipment failed between scheduled services. Emergency parts procurement at premium pricing became normal operating procedure. Inventory was managed by intuition rather than data, with stock-outs at critical moments and overstocked items sitting in storage for years.
- Manual service registers across dozens of HEMM units — frequent scheduling errors
- Calendar-based service dates ignored actual operating hours and load
- Emergency procurements at premium pricing — recurring cost overrun
- Inventory managed by intuition — stockouts during critical maintenance windows
- Pre-start checklist completion variable — DGMS compliance gaps possible
Service alerts tied to actual hours. Inventory tied to maintenance.
Cognecto deployed Boson's predictive maintenance module across NLC's HEMM fleet — connecting telematics hour readings to service schedules so reminders fire 7-15 days before threshold, not at calendar dates. Each scheduled service is linked to the consumables it requires, and inventory low-stock alerts trigger reorder workflows before a job card hits an empty bin.
Maintenance moved from reactive to predictive.
NLC's maintenance organisation now operates on advance signals from actual equipment data rather than reactive responses to breakdowns. Emergency procurement costs dropped by over a quarter. Equipment uptime improved by 10-12%. Pre-start checklist completion is uniform across shifts. The cumulative effect across the fleet over a year is significant — and entirely from the same equipment, the same workforce, and the same processes operating against better information.