In deployment

Supply Chain & Predictive Maintenance

Parts, three-way matching, MTBF/MTTR analytics, and 90–180 day maintenance planning.

Fleet availability in the field is a parts-and-timing problem. FORGE pairs supply-chain operations — inventory with location-level stock, purchase requisitions and POs, and three-way invoice matching — with reliability analytics so maintenance is planned, not reactive.

MTBF and MTTR are computed from real maintenance and sensor history, and a planning board schedules work across a 90–180 day horizon. Because the reliability picture is grounded in actual operating data (via IoT edge intelligence), the system can position the right Class IX part forward before a work order stalls waiting on it.

Common questions

How does predictive maintenance reduce downtime?

By computing reliability (MTBF/MTTR) from real operating data and planning work 90–180 days out, the right parts are positioned forward and repairs happen before failures cascade — lowering mean-time-to-repair.