OEE software for factories in Nigeria — every stop gets a cause, including the power.

Live OEE, downtime and production monitoring for FMCG, food and plastics lines in Lagos and along the Agbara, Ota and Sagamu corridors. addanode separates what most OEE tools blur together in Nigeria: power events, machine faults and changeovers — because you can't fix a loss you've mislabelled.

What this solves in Nigeria

Three losses Nigerian lines carry — and rarely measure.

Power events buried in "downtime"

In Nigeria, power events are a dominant, measurable availability loss — outages, changeovers, trips on transfer. If your downtime log lumps them in with machine faults, maintenance chases ghosts while the real loss sits in the power house. addanode tags power-related stops automatically from supply monitoring.

Older machines with no digital output

FX pressure means Nigerian factories run machines longer. Many have no counters or network ports — which is not a barrier. Retrofit sensors (current clamps, optical and proximity counters) put accurate counts and run/stop state on machines built decades before Ethernet reached the factory floor.

Shifts without a scoreboard

When output is tallied on paper at the end of the day, no shift owns its numbers. Per-shift OEE — availability, performance, quality, with stop reasons — turns the morning meeting from argument into review. Same line, same product, different shifts: the gap is where the money is.

A stop with the wrong cause on it costs twice A power event recorded as a machine fault sends maintenance to an asset that did not fail, puts mechanical problems at the top of a ranked loss list that should be led by power, and leaves the crew defending a stop they did not cause. Classifying every stop against the site's supply state at the moment it happened removes the guesswork from the log. Booked as a machine fault Booked against the supply state Who the loss lands on The line, and the crew that were running it The power house, where the event actually happened What maintenance does next Investigates a machine that did not fail Reads the transfer log and the trip behind it What the ranked loss list says Mechanical faults at the top, wrongly Power events at the size they actually are What gets bought Spares, and a monitoring case for the wrong asset Whatever fixes the transfer — possibly nothing on the line at all What the morning meeting becomes An argument about whose shift it was A review of events with times attached to them How the classification happens By whoever writes the log, after the fact From the supply state at the moment of the stop
A stop with the wrong cause on it costs twice A power event logged as a machine fault sends maintenance to an asset that did not fail. Who the loss lands on Machine fault The line, and the crew that were running it Supply state The power house, where the event actually happened What maintenance does next Machine fault Investigates a machine that did not fail Supply state Reads the transfer log and the trip behind it What the ranked loss list says Machine fault Mechanical faults at the top, wrongly Supply state Power events at the size they actually are What gets bought Machine fault Spares, and a monitoring case for the wrong asset Supply state Whatever fixes the transfer — possibly nothing on the line at all What the morning meeting becomes Machine fault An argument about whose shift it was Supply state A review of events with times attached to them How the classification happens Machine fault By whoever writes the log, after the fact Supply state From the supply state at the moment of the stop
The first of the three losses above, followed to its consequences. A misclassified stop is not a reporting error; it redirects the maintenance budget — which is why the classification has to come from the supply state rather than from whoever fills in the log.
Local operating constraints

OEE that respects Nigerian plant reality.

  • Power context is part of the OEE record. Every availability loss is classified against the site's supply state — grid, generator, changeover in progress — so a stop caused by a transfer is never booked against the machine or the crew. For the full power picture, see power & downtime monitoring for Nigeria.
  • The system itself must survive outages. Counting hardware is battery-buffered and logs locally through grid failures; the OEE record has no holes, even on a day with multiple changeovers.
  • Mixed machine ages on one line. A modern filler next to a decades-old case packer is normal in Lagos and Ogun. We read PLCs where they exist (Modbus, OPC-UA, MQTT — 500+ protocols) and retrofit sensors where they don't, so the whole line reports, not just the newest machine.
  • Low-bandwidth dashboards. Supervisors see live line status on a phone over the estate's congested cell — reports are kilobytes, and store-and-forward covers the drops.
Typical deployment

From uncounted line to per-shift OEE.

1 · Count

Good count, reject count and run/stop state from PLCs where available, retrofit sensors where not — current clamps and counters on older machines.

2 · Classify

Every stop gets a cause: power events auto-tagged from supply monitoring, changeovers flagged by pattern, machine faults and operator reasons captured at the line.

3 · Compute

Availability × performance × quality per line, per product and per shift — computed continuously on addaNet, cloud or on-premise, buffered through outages.

4 · Review

Live dashboards on the floor, a per-shift report for the morning meeting, WhatsApp alerts on long stops — and a Pareto of causes that tells you what to fix first.

Typical first deployment: one line instrumented in 2–6 weeks, hardware pre-configured in Johannesburg, installed by local partners or your own electricians under our remote guidance.

Nigerian production environments — and why power is the first column

EnvironmentDominant lossPower overlayFirst thing to instrument
FMCG and personal care (Lagos, Ogun)Changeovers, micro-stopsEvery outage restartCounts + run state + mains presence
Plastics and packagingCycle-time creepGenset-supplied hydraulics and chillersCycle time per machine; genset load
Breweries and bottlingFiller micro-stopsRestart lossesCounts at the filler; outage log
CementRate below designSelf-generation at plant scaleRate + energy per tonne
Textiles and garments (Kano, Aba)Flow imbalanceGrid hours decide the shiftPieces per hour per line; power attribution
Industries served

Where OEE pays back fastest in Nigeria.

FMCG and food lines along the Agbara, Ota and Sagamu corridors · plastics and packaging plants in Lagos and Ogun — injection moulding, film, preforms · breweries and bottlers in Lagos, Ibadan and Port Harcourt · flour and feed mills near Apapa and in Kano · home and personal care plants in the Lagos–Ogun belt. Related pages: power & downtime monitoring, the addaNet platform — or start at the Nigeria overview.

Nigeria changes the arithmetic in one specific way: on a site running largely on self-generated power, an idle hour is not free. Where the grid carries the load, an unproductive hour costs the wage bill and the lost output; where a generator carries it, that hour also burns fuel at close to the rate a productive hour would. That shifts what is worth measuring first. The conventional advice is to start with availability and work toward a full OEE figure; on a generator-fed line it is usually more profitable to start with run, stop and load against fuel, because the first week of that data tends to find hours that were being paid for twice.

The second Nigerian factor is corridor concentration. Where plants sit close together, the same maintenance skills, the same spares and the same contractors circulate between them — which makes a proven first installation unusually persuasive locally, and makes the choice of that first site worth more thought than the choice of the technology. Pick the line whose losses are disputed rather than the line whose losses are obvious: a measurement that settles an argument travels further than one that confirms what everyone already believed.

FAQ

OEE software in Nigeria — common questions

What is the best OEE software for factories in Nigeria?

The best OEE software for Nigerian factories is one that treats power events as a first-class downtime category, keeps counting through outages, and retrofits onto older machines. addanode's OEE on the addaNet platform does all three: supply-state tagging separates power losses from machine faults, battery-buffered hardware logs through grid failures, and retrofit sensors bring pre-digital machines into the count.

Can OEE software work on old machines with no digital output?

Yes. Retrofit sensors — current clamps, optical counters, proximity switches — give run/stop state and unit counts without touching the machine's controls. Most Nigerian deployments mix PLC-connected machines and retrofitted ones on the same line.

How do you separate power outages from machine downtime?

The system monitors the site's supply state alongside the line. When a stop coincides with an outage, a changeover or a transfer trip, it is tagged as a power event automatically — so availability reports show the machine's real reliability and the power's real cost, separately and honestly.

Does OEE keep working when the internet or the grid drops?

Yes. Counting hardware is battery-buffered and logs locally; data synchronises when the link returns. A grid failure appears in your OEE record as a classified availability loss with a start and end time — not as a blank hour.

What does OEE software cost in Nigeria?

A single-line starter deployment is quoted with a written cost band after a free remote assessment. Reading existing PLCs and adding only the sensors a line is missing keeps imported hardware minimal — deliberate design for budgets under FX pressure.

What OEE score should a Nigerian factory target?

The commonly cited world-class benchmark is around 85%, but the honest first target is your own baseline plus steady improvement. Most lines discover their true OEE is well below what the paper logs suggested — that gap, once visible per shift and per cause, is the improvement plan.

Do we have to replace our PLCs or SCADA to get OEE?

No. addaNet reads existing PLCs, meters and instruments over 500+ industrial protocols including Modbus, OPC-UA and MQTT. OEE is added on top of what you own, not instead of it.

Comparing markets? Production monitoring in Africa by industry sets out the measurement each industry should start with, and the argument that first number usually settles. You can read the Nigeria row against the rest from there.

Put a number on every stop on your Nigerian line.

Tell an engineer what the line runs and what it loses — get an honest answer on what OEE monitoring would cost and find.