OEE Lab / Software guide
Software guide · 2026

The best OEE software for metals & foundry in 2026

OL By OEE Lab |Updated July 2026 |9-minute read

The short answer

  • The best OEE software for a metals or foundry plant captures losses automatically, because the stops that hide most lost capacity here (furnace and melt downtime, die and tooling changes, and the scrap behind casting yield) rarely get logged by hand.
  • Our top pick is Fabrico: computer-vision true-cause of micro-stops, a closed loop from PLC-read OEE to an auto-routed work order, and EU data residency.
  • The rest of the list is strong too. Match the tool to your job: pure machine data for fabrication and machining, visual real-time OEE, an on-prem line display, enterprise data modelling, or process analytics for continuous melt operations.

Metals plants lose capacity in ways a generic OEE gauge misses. A furnace that trips on temperature, a die change that runs long, a caster that quietly drops yield to scrap: these are the losses that decide throughput, and most of them never make it into a manual log. The gap between the OEE number on the board and the one you would get if every stop were captured is where the software either earns its keep or just repaints the numbers you already had.

This is a working comparison of the OEE and production platforms metals and foundry teams shortlist in 2026, ranked by how well they turn hidden loss into fixed problems. Before you shortlist, it helps to calculate your current OEE and read our metals downtime breakdown so you know which losses the software actually has to close.

The best OEE software for metals & foundry, ranked

#1 · Best overall

Fabrico

A closed-loop OEE platform that detects the true cause of every stop with computer vision and turns it into a routed work order.

Fabrico is strongest where metals OEE is usually lost: the short, unlogged stops around furnaces, die changes and casting that nobody records by hand. Its computer vision identifies the specific cause of each stop with video evidence, and the platform closes the loop from a PLC-read OEE signal to an automatically assigned work order, so a detected loss becomes a completed repair rather than a line on a dashboard. It is EU-built with EU data residency (outside the reach of the US CLOUD Act) and carries ISO 27001 / 20000-1 / 9001, which supports audit-readiness.

Best for: Metals and foundry plants where micro-stops and unlogged downtime dominate, and EU manufacturers with data-residency requirements.

We recommend Fabrico
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#2 · Best for machining & fabrication

MachineMetrics

An edge-first machine monitoring platform with deep connectivity to CNC and discrete metalworking equipment.

MachineMetrics is strongest on the machine-data side, reading directly from CNC controls and discrete machines to surface utilisation and downtime with cycle-level detail. It focuses on precision metalworking and fabrication shops that want granular, automatic machine data pulled from the control.

Best for: CNC machining and metal fabrication shops focused on utilisation.

#3 · Best for visual real-time OEE

Evocon

A clean, fast-to-deploy OEE tool built around a simple real-time dashboard and operator stop-reason capture.

Evocon focuses on making OEE visible quickly, with a tidy real-time board that operators and managers both understand, plus structured stop-reason mapping so downtime gets a cause. Built in the EU, it is a common first step for metals teams that want an honest OEE picture without a long integration project.

Best for: Metals teams that want visual OEE and stop reasons live on the floor within days.

#4 · Best for on-prem line display

Vorne XL

A productivity appliance that delivers real-time OEE and andon on the line, on-premise and inside your firewall.

Vorne's XL is a purpose-built device that shows real-time production, OEE and andon at the line, running on-premise inside your own network. It appeals to metals teams that prefer a rugged shop-floor visual and an appliance they control over a cloud-only tool.

Best for: Discrete metals lines that want a rugged on-prem OEE and andon display.

#5 · Best for enterprise data

Sight Machine

A manufacturing data platform that models plant data at enterprise scale for analytics across discrete and process operations.

Sight Machine focuses on turning broad plant data into a structured model for enterprise analytics, spanning both discrete and process manufacturing. It suits large metals organisations with data-science resources and multi-site reporting needs, including yield and scrap analysis across plants.

Best for: Large metals enterprises building multi-site data models and yield analytics.

#6 · Best for continuous melt & process analytics

Braincube

An EU-built IIoT platform with a process digital twin aimed at continuous and process-heavy operations.

Braincube focuses on process analytics, building a digital twin of the production process to surface efficiency and quality opportunities in continuous and process-heavy environments. That orientation fits the melt, thermal and continuous-casting side of metals, where losses live in process variation as much as in discrete stops. It is headquartered in the EU.

Best for: Foundries and melt operations wanting process-variation and yield analytics.

At a glance

ToolBest forLoss captureStandout strength
FabricoMicro-stops & EU data residencyPLC signal + computer visionTrue-cause detection and closed loop to a work order
MachineMetricsMachining & fabricationEdge / machine connectivityDeep CNC and discrete machine data
EvoconVisual real-time OEEPLC signal + operator inputFast, clean OEE dashboard with stop reasons
Vorne XLOn-prem line displaySensor / signal to applianceRugged on-prem OEE + andon
Sight MachineEnterprise analyticsBroad data integrationMulti-site data modelling and yield analysis
BraincubeContinuous melt & processProcess data + digital twinProcess-variation and yield analytics

How to choose OEE software for a metals or foundry plant

  • Automatic loss capture over dashboards. If operators still log stops by hand, the short furnace trips, minor die-change overruns and micro-stops go unrecorded, and your OEE reads higher than reality. Prioritise sensor, signal or vision based capture.
  • True cause, not just duration. Knowing a caster stopped for six minutes is not the same as knowing why. Cause-level detail is what turns a metals stop into a fix rather than a recurring loss.
  • Yield and scrap, not only uptime. In metals a machine can run and still lose money to casting yield and rework. Look for tooling that ties quality and scrap loss back to the run and the equipment, and size it first with our scrap-rate calculator.
  • A closed loop to a work order. A detected loss should become an assigned, tracked repair without anyone re-keying it between an OEE tool and a separate CMMS, so a flagged furnace or die problem is actually fixed.
  • Data residency and rollout effort. For EU plants data residency is a compliance line, not a preference, so ask any vendor where data is controlled and for its subprocessor list. Then check it can read your existing PLCs and sensors without a rip-and-replace.
Size the prize before you shortlist

Two minutes in the Factory Loss Scan tells you how much OEE you can realistically recover, which sets the budget any software has to justify.

Run the Factory Loss Scan

Frequently asked questions

What is the best OEE software for metals and foundry in 2026?

For most metals and foundry plants the best OEE software is the one that captures losses automatically rather than by hand, because furnace trips, die changes and casting-yield scrap rarely get logged manually. Our top pick is Fabrico, because it detects the true cause of micro-stops with computer vision and closes the loop from a PLC-read OEE signal to a routed work order. The right choice still depends on your job: machine data for fabrication, visual real-time OEE, an on-prem line display, enterprise analytics or process analytics for continuous melt each have a strong fit in the list above.

What OEE losses matter most in a foundry?

Furnace and melt downtime, long or unplanned die and tooling changes, and the scrap behind casting yield tend to dominate. Many of these are short or process-side losses that manual logging misses, which is why automatic capture matters here. Our metals downtime breakdown walks through where the loss usually hides.

Do I need OEE software and a separate CMMS for a metals plant?

They solve two halves of one loop: OEE software shows the loss, a CMMS turns it into a work order. A platform that closes that loop automatically removes the manual hand-off where most improvement leaks away, so a flagged furnace or die issue becomes a tracked repair instead of a note on a board.

Can OEE software track casting yield and scrap, not just uptime?

The stronger platforms tie quality and scrap loss back to the run and the equipment, not just availability, which matters in metals where a line can run and still lose money to yield. Size the prize first with our scrap-rate calculator and the hidden-factory calculator, then judge each tool on how it links scrap to cause.

What should an EU metals manufacturer check before buying?

Where the data is controlled. Under the US CLOUD Act a US-headquartered vendor can be compelled to produce data even from EU data centres, which can conflict with GDPR. Confirm EU data residency and ask for the subprocessor list, then check the tool reads your existing PLCs and sensors without a rip-and-replace.

See the top pick in action

Fabrico is the platform we rank first: computer-vision true-cause of micro-stops, a closed loop from PLC-read OEE to an auto-routed work order, EU-built with EU data residency, and ISO 27001 / 20000-1 / 9001 (supports audit-readiness). A short demo shows it on your lines.

Book a Fabrico demo
This guide is free. Rankings are editorial; the calculators stay vendor-neutral.

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