IATF 16949, part-level traceability, supplier quality, JIT visibility into the line. Tooling-aware, takt-aware, ECN-aware — the platform speaks the language of an OEM plant floor.
Why automotive plants pick MOSES
Automotive plants are line-paced, takt-sensitive, and unforgiving. Every minute of unplanned downtime costs money. Every scrapped part costs money. Every recall costs more money than all of the above combined.
MOSES gives you closed-loop control on the floor — pulling sensor data, machine telemetry, and operator inputs into one operational data fabric — while staying integrated with the MES, ERP, and CMMS that already runs the plant.
Automotive-specific capabilities
- Part-level traceability — track every part from raw coil to assembled vehicle, queryable in milliseconds by VIN or serial.
- Takt-aware OEE — performance loss calculated against the actual cycle time, not a static "ideal."
- Tooling life management — strokes, cycles, condition. Auto-route to maintenance before failure.
- Andon escalation — operator pulls cord, supervisor knows in 8 seconds, plant manager knows in 15.
- Supplier quality scorecards — incoming inspection data rolls up to per-supplier yield and PPM trends.
- ECN / change management — engineering changes propagate to operator instructions, work orders, and inspection plans in one move.
It plugs into your MES
Automotive plants run on serious MES — Apriso, Siemens Opcenter, Plex, or a homegrown system from 2009 with a maintenance contract worth more than a small house. MOSES does not replace any of these.
Instead, MOSES sits below and beside the MES, pulling telemetry directly, exposing it through configurable workflows, and pushing events back into the MES where it belongs. The result: operators get a fast modern UI on a tablet. The MES keeps its system-of-record role. IT doesn't have to rip anything out.
What customers measure
Customers tell us they look at three things in the first 90 days: (1) cycle-time consistency on their slowest line, (2) first-pass yield on their highest-volume part number, and (3) the time it takes a supervisor to acknowledge an andon. All three improve, every time.
We used to know cycle time variance at the end of the week. We now know it at the end of the cycle.— Operations Director, Tier-1 powertrain plant
See what your automotive plant looks like on MOSES.
A working demo with mock data is one click away. A real one — with your data — is one conversation away.