Key takeaways
Short answer: Enterprise resource planning (ERP) and the manufacturing execution system (MES) sit at different altitudes of the same factory. ERP plans, schedules and accounts; the MES executes the plan on the floor and records what physically happened — machine by machine, second by second. When a plant forces ERP to act as its shop-floor system, it ends up with stale, hand-keyed data that never matches reality, because ERP was never built for the pace of the floor. See also mes vs erp.
ERP is the system of record for the business. It answers planning and financial questions: what should we make, with what materials, against which orders, at what cost. Its data is transactional and batch-oriented — a purchase order, a goods receipt, a production confirmation — entered minutes or hours after the fact.
The MES is the system of execution. It lives on the floor and answers a different question entirely: what is happening right now, and what just happened. It captures thousands of events per shift automatically, not through human data entry.
ERP describes the plan; the MES describes reality. ERP says a work order should produce 1,000 units in eight hours; the MES records that the line actually ran 6 hours 40 minutes, stopped 14 times, lost 22 minutes to a changeover and scrapped 31 parts. ERP cannot see any of that — it only sees the final confirmation someone keys in at shift end. The gap between the two is where most factories lose money invisibly.
A packaging line is told by ERP to make 10,000 units. At shift end an operator confirms "10,000 produced" in ERP and the books look perfect. The MES, capturing directly from the PLC, tells the real story: 10,420 units started, 9,980 good, 440 scrapped, with 38 micro-stops eating 41 minutes and the machine running 6% under rated speed. ERP shows a healthy order; the MES shows a 12-point OEE loss and a recurring jam worth fixing. Only the execution layer makes that visible, and only because it never relied on a person to notice.
The right architecture is not ERP-or-MES but ERP-then-MES-then-ERP. ERP releases the schedule and work orders downward; the MES executes them and feeds validated actuals — real quantities, times and scrap — back up. ERP stops being a data-entry chore and becomes a consumer of trusted numbers. Get this handshake wrong and you get double entry, conflicting reports, and the endless meeting argument about whose number is right.
1. Skipping the MES and bolting data entry onto ERP. Operators key numbers from memory; the data is late, rounded and wrong.
2. No clear ownership boundary. ERP and MES both try to own the same event and drift apart.
3. Treating OEE as an ERP feature. ERP cannot see micro-stops or speed loss, so its efficiency figure is fiction.
4. Manual reconciliation instead of integration. Teams spend hours each week making two systems agree instead of capturing once.
OEE is an execution-layer metric by definition. Availability, Performance and Quality all require real-time machine data that ERP never captures. Plants that compute OEE from ERP confirmations get one flattering number with no losses to act on; plants that compute it from the MES get a loss tree they can actually attack.
Fabrico provides the execution layer — capturing OEE, downtime and quality straight from your machines and feeding clean actuals back toward ERP — without a heavyweight legacy MES rollout. Book a demo to see the floor-to-ERP data flow on your own lines.
Not accurately. OEE needs real-time machine data ERP does not capture; an ERP efficiency figure hides the actual losses.
Most plants do — ERP for planning and finance, an execution layer for the floor. They answer different questions.
A CMMS handles maintenance execution and complements the MES; together they connect production reality with maintenance action.
Increasingly an OEE/MES platform covers execution without a heavyweight legacy MES, then integrates with ERP.
Push the ERP schedule and work orders down, and feed real produced and scrap quantities back up — that single loop ends most number disputes.
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