Most people planning a factory assume the danger sits in sales. If the product is good and the market is there, the thinking goes, the rest follows.

The more common failure happens months earlier, in a supplier’s showroom, when a founder stands in front of a machine that does far more than his business will need for years and decides he wants that one.

Nothing about that decision feels like a mistake at the time. It feels like ambition.

Capacity should be sized against the market, not the machine

The question investors ask suppliers is how much the machine can produce per day. The question that decides the outcome is how much the market will absorb every month, reliably, at a price that works.

When production capacity runs ahead of demand, the factory does not simply idle. It accumulates. Finished stock sits in the warehouse tying up cash that was borrowed or saved. The generator burns diesel through shifts that are producing goods nobody has ordered. Maintenance intervals arrive on schedule regardless of whether the output sold. A large line running at a third of its capacity carries the cost structure of a large line and the revenue of a small one.

That gap is where businesses quietly fail. Not dramatically, and not because demand never came, but because the fixed costs of the wrong-sized plant consumed the working capital before demand had time to grow into it.

Brochure output is not what you will produce

Every specification sheet quotes an output figure. No factory anywhere achieves it.

Manufacturing has a standard measure for this, Overall Equipment Effectiveness, which multiplies three things: how much of the planned time the machine actually ran, how close it ran to its rated speed, and how much of what it made was saleable. A world-class plant reaches about 85%, built from roughly 90% availability, 95% performance and 99.9% quality. The typical manufacturing average sits nearer 60%.

Put a real line through that. A machine rated at 100 kg an hour, run over a 16-hour day, promises 1,600 kg. At world-class effectiveness you would get 1,360. At the industry average you get 960. On unstable power, with an inexperienced operator and start-up waste on every changeover, a new Nigerian factory can sit well below that in its first year.

So the brochure figure and your saleable output can differ by 40% before anything has gone wrong. Plan revenue on the second number. Size your capacity on the second number. Anyone building a business case on the first is not being optimistic, he is using the wrong figure.

Small first is usually the faster route

Large plants are genuinely more profitable, but only once the business already has stable customers, working distribution, spare working capital, maintenance systems and demand it can predict a month out. Those things are earned, and they are earned by trading.

Starting smaller buys the one thing money cannot: knowing how your own market actually behaves. Which sizes move. Which customers pay. Where your waste really comes from. What breaks, and how quickly you can get the part.

A founder who has run a modest line for eighteen months makes a far better second purchase than the same founder made on day one, because he is buying against evidence rather than against a supplier’s presentation. Scaling in stages is not caution. It is buying information before buying steel.

Layout decides money you will never see leave

Factory layout gets treated as an architectural matter and it is an operational one.

Material that has to be carried further than necessary costs labour on every single pass, all day, every day, and the loss never appears as a line in your accounts. It shows up only as output that is lower than it should be. Poor flow also hides bottlenecks, because when the sequence is scattered you cannot see which stage is holding up the others.

Design around the path the material takes. Resin in at one end, finished goods out at the other, each stage in the order the work happens and visible from the floor. It costs nothing extra to plan and it is expensive to fix once machines are bolted down and power is run.

The cheapest machine is rarely the cheapest machine

Purchase price is one figure in a decision that runs for a decade.

What matters alongside it is whether spare parts can be obtained without a three-month wait, whether the supplier answers when something fails in month seven, whether the line integrates with equipment you already have or intend to buy, and whether anybody in the country can service it.

A line that saves you a meaningful sum at purchase and then stands idle for six weeks waiting on a part has consumed the saving several times over. Ask about parts availability and technical support with the same seriousness you ask about price, and treat a supplier who is vague on either as expensive regardless of his quotation.

Where the real risk sits

A factory is not finished when the machines arrive. It is finished when capacity, demand, layout, working capital and support arrangements all fit together, and that fitting is done on paper long before anything is shipped.

Most manufacturing problems we see were created during planning and only discovered during production. That is why we spend most of our time with clients before the order is placed, on what the machine actually needs to do, whether the supplier can support it, and what the whole thing will cost delivered and running.

If you are at that stage, the conversation is worth having before the deposit, not after. Details at venocipal.com.