First, know which production type you are
| Discrete line | Continuous process | Batch / agro-processing | Job shop | |
|---|---|---|---|---|
| African examples | Bottling and canning, packaging, FMCG assembly, textiles | Cement, copper smelting, aluminium, paper, plastics extrusion | Breweries, cocoa grinding, sugar mills, dairies, edible oils, feed mills | Engineering works, fabrication, mining workshops |
| Where time dies | Micro-stops, changeovers, jams — and restart after every outage | Rate below design; rare, catastrophic stoppages | Between steps: cleaning, transfers, QC holds, campaign windows | Idle spindles, setup, waiting for work and spares |
| First signal to wire | Product counts + run state at the constraint | Throughput rate + drive currents + vibration on the critical list | Step timestamps + temperatures | Spindle-on current per machine |
| Africa-specific overlay | Mains presence + genset state, so outage losses are attributed, not blamed on the line | Spares lead time makes weeks of warning the whole business case | Seasonal campaigns: the repair window is the off-season, the failure window is never | Mixed-age fleets — current clamps, no PLC integration |
Bottling, brewing and beverages
Beverages is the most instrumented manufacturing sector on the continent because the economics are brutal and legible: a filler running at 80% of rated speed for a shift is a number a plant manager can see in cases. Bottling and canning lines lose OEE to micro-stops at the filler and labeller; breweries are batch upstream (brewhouse, fermentation, CIP windows) and discrete downstream. The African overlay is power: a line that trips on every outage loses the restart time and the product in the machines each time, so mains presence and generator state are logged alongside the counts, and the loss log attributes the stop to the grid rather than to the crew. Our named client relationship across South Africa, Zambia and Botswana is in this sector — see the case studies — and the country entry points are the OEE pages for Kenya, Zambia, Tanzania, Ghana, Nigeria and Botswana.
Cocoa, agro-processing and food
Ghana's cocoa grinders, Kenya's tea factories, Uganda's coffee and grain mills, Malawi's sugar and tobacco processing, Zimbabwe's beverage and packaging sub-sectors: agro-processing is batch, seasonal and thermal. Roasters, driers, boilers and presses set the pace; the losses hide between steps and in the campaign calendar, and the condition-monitoring priority is the handful of assets — boilers, mills, presses, refrigeration — whose failure in season costs the year. Ghana's cocoa processing page and the factory upgrade feasibility guide cover the sector's specific arithmetic; Kenya's agriculture and cold chain page covers the packhouse side, where export windows for avocado and horticulture make cold-chain records a compliance document.
Cement, aggregates and building materials
Tanzania, Zambia, Nigeria, Kenya and Ethiopia all built cement capacity in the last decade, and a kiln line is the purest continuous-process case on the continent: it stops rarely, catastrophically and expensively. Kiln drive, mill bearings, crusher shafts and ID fans carry the condition-monitoring weight; the OEE lens is rate against design capacity, where a mill running 8% under rating for a quarter is a stoppage nobody logged. Two African specifics: the plants are often far from the industrial belt (coverage decides the network), and the electricity contract is the largest cost line, which is why energy per tonne belongs on the same dashboard as throughput. Tanzania's mining and cement page and Zambia's energy per tonne page carry the detail.
Copper, smelting and the Copperbelt
Zambia's mining sector takes roughly 60–65% of the country's electricity (ERB 2025), and runs under ZESCO's eight-hour daily load-shedding schedules; one major operator reported six-figure daily generator costs. That makes the Copperbelt the clearest case in Africa for treating power as a production variable: mains presence, genset load and fuel, and the production rate against them, on one record. Around the smelters and concentrators, the condition-monitoring list is short and expensive — mills, crushers, furnace fans, slurry pumps — and the spares chain runs through Johannesburg or further. Zambia's mining condition monitoring and generator monitoring pages are the entry points; our condition monitoring in Africa analysis argues the spares-lead-time case in full.
FMCG, plastics and packaging
Nairobi, Lagos, Accra, Dar es Salaam and Lusaka all host FMCG clusters — soaps, edible oils, plastics packaging, personal care — running discrete lines and injection moulders where cycle-time creep and changeovers are the loss physics. Nigeria's manufacturers reported ₦1.34 trillion of self-generated power costs in 2025 with energy at 40% of operating cost, which changes the OEE question: a Lagos plant's most valuable monitoring point is often the interface between the grid, the gensets and the lines. Country pages: Nigeria power and downtime, Kenya industrial IoT, Ghana industrial IoT.
Textiles, apparel and industrial parks
Ethiopia's industrial parks — Hawassa above all — concentrate textile and apparel lines whose monitoring question is flow (pieces per hour per line against target) and whose constraint is the park's power: reports of factories outside the parks running at a fraction of capacity for want of electricity make the point. Simple count-based line monitoring plus outage attribution covers most of the value; compressors and boilers are the only assets worth individual condition monitoring. Rwanda's growing manufacturing share (a fifth of GDP) and Kigali's special economic zone follow the same pattern at smaller scale.
Machine shops, fabrication and mining workshops
Every mine and every large plant runs a workshop, and the workshop runs machines spanning four decades. Spindle utilisation measured from motor current — no CNC integration, no PLC — is routinely a shock the first time it is graphed, and it reprices every job quoted on machine-hours. Zimbabwe's manufacturing survey put average capacity utilisation at 55.9% in 2025, and the technology-upgrading firms in that survey grew turnover at more than twice the rate of the rest: measurement is where the upgrade starts. Zimbabwe's capacity utilisation page and instrumentation page carry the local case.
The environment map on one table
| Environment | Dominant loss | First thing to instrument | Condition-monitoring focus | Where in Africa it concentrates |
|---|---|---|---|---|
| Bottling / canning | Micro-stops at filler; outage restarts | Counts + run state + mains presence | Filler drives, compressors, refrigeration | Every capital city; Zambia, Botswana, SA (named client) |
| Brewery / dairy | CIP windows, batch waits | Step timestamps + line counts | Pumps, agitators, refrigeration | Nairobi, Lusaka, Dar, Accra, Lagos, Kampala |
| Cocoa / grain / sugar / tea | Campaign-season downtime, thermal stability | Roaster/drier/boiler temperatures; mill vibration | Boilers, presses, mills, elevators | Ghana, Côte d'Ivoire, Kenya, Uganda, Malawi |
| Cement / building materials | Rate below design; rare big stops | Throughput rate + drive currents + energy per tonne | Kiln drives, mills, crushers, fans | Tanzania, Zambia, Nigeria, Kenya, Ethiopia |
| Copper / smelting | Power-event losses; catastrophic asset failure | Mains + genset + production rate on one record | Mills, crushers, furnace fans, slurry pumps | Zambian Copperbelt, DRC, Zimbabwe |
| FMCG / plastics | Changeovers, cycle-time creep, self-generation cost | Cycle time per machine; grid–genset interface | Hydraulics, chillers, compressors | Lagos, Nairobi, Accra, Dar, Lusaka |
| Textiles / apparel | Flow imbalance; park power | Pieces/hour per line + outage attribution | Compressor, boiler | Ethiopia's industrial parks, Kenya EPZs, Rwanda |
| Machine shops / workshops | Idle spindles, waiting for spares | Spindle-on current per machine | Spindles, compressed air | Every mine and large plant; Zimbabwe's 55.9% utilisation economy |
The three constraints, by country
| Country | Power reality (2026) | What it does to monitoring design |
|---|---|---|
| Zambia | ZESCO eight-hour daily load-shedding schedules; mines asked to stagger production | Genset is a monitored machine; every OEE loss log starts with a power-event log |
| Nigeria | Grid supply around six hours a day; self-generation ₦1.34 trillion (2025); Band A tariffs above ₦200/kWh | Energy per unit and genset fuel sit on the production dashboard, not the finance one |
| Uganda | Cheap industrial power (large industrial 308 UGX/kWh) that stops: restoration times lengthened to ~20 hours after the distribution handover | Outage cost, not tariff, is the number to measure — see Uganda's interruption cost page |
| Zimbabwe | Months without national load shedding in 2026; imports cover the peak gap | The story is capacity utilisation, not power — measure the line, not the grid |
| Ghana | Historic "dumsor" cycles; industrial power around US$0.23/kWh; prepaid electricity ecosystem mature | Energy per unit of output is the competitive number; outage attribution stays on |
| Kenya / Tanzania | Planned maintenance outages (Nairobi eight-hour cases); grid-works rolling cuts in Tanzanian regions | Buffer at the edge; log the outage so the shift is not blamed for the grid |
| Ethiopia | Industrial-park allocation short of demand; factories outside parks at a fraction of capacity | Availability loss is mostly a power loss — measure it as such |
Three rules that survive every environment
- Attribute the outage before you blame the line. On this continent the largest availability loss is usually the grid, and a loss log that cannot separate "power failed" from "machine failed" produces the wrong improvement project.
- Warning time is worth more where spares are far. A bearing warning that buys three weeks is a curiosity in Europe and a shutdown avoided in Ndola. The continental case for condition monitoring is the lead time, not the sensor.
- Buffer everything, choose the network per site. 4G where the towers are, private LoRaWAN where they are not, and local storage in every node so the record has no gaps when the power or the link goes.
Where to go deeper: country OEE pages linked above · condition monitoring in Africa · the OEE solution across countries · generator and power monitoring · how we deliver without a local office.