ForgeOpsForgeOps monitors every machine continuously, diagnoses every fault automatically, and dispatches work orders to ForgeMaint automatically. Not analytics. Not a dashboard. A decision layer that acts on what it sees.
ForgeOps is not ForgeMaint
"Fault-to-work-order automatically — no human decision required."
Machine fault triggers ForgeOps. ForgeOps checks fault history (3rd occurrence in 14 days), classifies as recurring, generates a corrective work order in ForgeMaint with context pre-filled — machine ID, subsystem, fault code, history, recommended action. The maintenance manager sees a work order, not an alarm.
"ForgeOps and ForgeMaint are separate products. This is intentional."
ForgeOps answers: what is happening — production rates, OEE, machine state, active faults. ForgeMaint answers: what needs attention — PM schedules, work orders, MTBF, asset health. Different buyers, different screens, different data models. Merging them produces one mediocre product. Keeping them separate produces two excellent ones.
"Every automated decision is explained and queryable — not a black box."
ForgeOps logs every decision with full context: what triggered it, what data it used, what it decided, why. ForgeKnowledge makes that log queryable in plain English. 'Why did ForgeOps create a work order on CONV-03 last Tuesday?' returns a complete answer.
A fault on the floor becomes an engineering brief, a maintenance work order, and a procurement request — automatically, with a full trace.
ForgeOps monitors every machine continuously. Sensor data, PLC tags, cycle times, OEE, energy consumption. Anomaly detection flags deviations before they become failures.
Fault received. ForgeOps checks fault history, cross-references similar faults on similar machines, classifies severity, identifies the likely subsystem. Context assembled automatically.
First occurrence: log and monitor. Recurring fault: generate corrective work order. Critical fault: halt machine, generate work order, escalate to engineering, initiate emergency procurement if parts are needed.
Work order pushed to ForgeMaint with full context. Parts request sent to ForgeProcure if needed. Engineering brief opened in ForgeCAD if design change is indicated. All from the same triggering event.
Technician completes work order in ForgeMaint. Resolution logged. ForgeOps updates fault history, adjusts anomaly detection thresholds. ForgeKnowledge captures the full decision trail.
Every machine, every PLC tag, every sensor — monitored continuously. OEE, cycle time, throughput, energy, fault rate. All live.
A machine fault becomes a ForgeMaint work order automatically — context pre-filled, no human decision required.
Availability, Performance, Quality — broken down per machine, per line, per shift, per product.
ForgeOps learns normal operating envelopes and flags deviations before they become failures.
Recurring faults that indicate a design problem automatically open an engineering brief in ForgeCAD — the right person gets the right context.
Every ForgeOps decision is logged with full context and queryable in plain English via ForgeKnowledge.
8 sec
Fault to work order
No human decision required
100%
Decision trail
Every automated action explained
ForgeOps ≠ ForgeMaint
Clean separation
What's happening vs. what needs attention
Real-time
PLC tag monitoring
Every machine, every tag, continuously
ForgeOps is not a dashboard. It is a decision layer. Every machine event is diagnosed, classified, and acted upon — automatically, with a full audit trail. The maintenance manager sees a work order, not an alarm.