Solution · Operations
By the time the Monday OEE deck is ready, the shift that lost the time is already gone. Foreman closes the loop in real time — so the right person sees the right cause while the line can still be fixed.
The pain
By Monday at 09:00, the engineer pulling the OEE deck has spent the better part of a day reformatting Wonderware exports and aligning them with shift logs that nobody trusts. The deck is read out, a few actions are written down, and the meeting ends — five days after the shift that actually lost the time.
The bottleneck isn't the line. It's the latency between the event and the action. The supervisor on the floor knew at 03:00 that the press was drifting. The MES knew it too. But nobody was asked the right question in the right minute, so the loss stacked up across the shift and became someone else's report on Monday.
Engineers who could be tuning the process are instead exporting CSVs and rebuilding the same pivot table every week. The plant has the data — it doesn't have anyone who can read it in time to act on it.
What Foreman does about it
Foreman watches OEE across every line as it happens. The moment availability, performance, or quality starts to slip, it identifies the line, the station, and the most likely cause — before the loss compounds across the shift.
Built on · Decision Layer
Instead of a notification, you get a recommendation: 'Press 3 is drifting on cycle time. Closest historical match is the die-wear pattern from last September. Suggested action: pull the maintenance ticket attached.' Your engineer accepts, edits, or rejects — with the agent showing its work.
Built on · Agent Engine
Plant-wide OEE rolls up automatically — by line, by shift, by part number, by cause code. Leadership sees the same numbers the floor does, in the same minute. The Monday meeting becomes a decision review, not a data hunt.
Built on · Digital Twin
Every decision Foreman surfaces is logged with its inputs, the alternatives considered, and what your team did about it. When the OEM asks why a corrective action was taken, the answer is one query away — not a meeting reconstruction.
Built on · Decision Layer
What we'd move
Event-to-action latency on a typical OEE loss — from the Monday-meeting cycle down to the same shift.
Engineer time recovered from CSV exports, pivot rebuilds, and OEE deck prep on a 4-line plant.
Decisions logged with inputs, alternatives, and outcome — every corrective is OEM-audit-ready.
* Discovery-stage estimates from MES walkthroughs with Tier-1/2 plants. Replaced with measured numbers as pilots run.
The one outcome that matters
With the audit trail to prove it. No fabricated benchmarks; the number that moves is the one between event and action. Foreman collapses it from days to minutes on the lines we plug into.
Where it lands
MES
Wonderware, Opcenter, FactoryTalk, Ignition — read-only by default. Foreman watches events, downtime reasons, and part-by-part throughput without writing back.
Historian
OSIsoft PI, Aveva, MQTT brokers, OPC-UA endpoints. Asset signals correlated against MES events so cause and effect land in the same view.
Shift logs & SOPs
Foreman ingests your shift-log schema, supervisor notes, and standard operating procedures so its recommendations are written in language your team actually uses.
We don't replace your MES — we make the engineers running it twice as effective by closing the loop between data and action. See the full integration list →
Industry fit
Field notes
A 30-minute call to walk through your OEE workflow, your MES, and where Foreman would change the next shift you run.
