117,000 m² of factories · 1,400+ staff · Anji, China mail@btjj.net OEM / ODM · worldwide export
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Capacity planning and line balancing, in plain factory terms

Capacity Planning and Line Balancing: How a Factory Decides It Can Take Your Order

"Can you take 30,000 chairs by October?" is a yes/no question with a spreadsheet behind it. The spreadsheet is capacity planning, and the discipline that makes the answer trustworthy is line balancing. Neither is exotic, but the factories that skip them are the ones that over-promise in March and apologize in September. Worth knowing what we are actually doing when we commit, because the same math lets you sanity-check any supplier's promise — including ours.

Takt time: the heartbeat of the order

Start with takt time — the available working time divided by the number of units you need in that time. If you need 30,000 chairs over 60 working days and we run one line at, say, 7.5 productive hours, takt works out to roughly one finished chair every 54 seconds on that line. That single number tells us whether one line can do it, whether we need two, or whether the date needs to move. It is the most useful figure in the whole conversation, and it is the one most quotes never mention.

Line balancing: making every station keep up

A chair passes through a chain of stations, and each takes a different time. Welding might take 35 seconds, foam and upholstery 70, mechanism fitting 45, packing 30. The line can only go as fast as its slowest station — the bottleneck — so an unbalanced line with a 70-second station can never beat 70 seconds no matter how fast the others run. Balancing means splitting or re-staffing the heavy stations so every step lands near the takt time. We might put two people on upholstery, move a sub-step off the bottleneck, or run two upholstery cells feeding one line. Done right, a well-balanced single line out-produces a poorly balanced bigger one. That is why floor area alone tells you nothing.

The trade-off we weigh on every program

You can chase a perfectly balanced line, but perfect balance for one model means re-balancing every time the model changes — and a plant like ours runs many models. So we balance to families: mesh task chairs share a layout, executive chairs share another, office sofas run on their own upholstery-heavy cells. The cost of that pragmatism is a little idle time when a model does not perfectly fit its family's balance. The benefit is that we can switch between your models without tearing the line down. For a buyer, the practical read is this: a factory that runs your product family regularly will hit your date more reliably than one re-balancing from scratch for your order.

Line efficiency, and why 100% is the wrong target

There is a number engineers track called balance efficiency — roughly, the useful work time divided by the total station time across the line. A perfectly balanced line approaches 100%, meaning no station sits idle waiting for the bottleneck. In the real world you never quite get there, and chasing the last few points is usually a waste: the cost of re-engineering the line to claw back two percent of idle time exceeds what the idle time costs. We aim for a sensible balance — every station comfortably under takt with a small margin — because that margin is what lets us recover a bad hour without blowing the day. A line run at a theoretical 100% has no slack, and a line with no slack turns every small problem into a late shipment.

Mixed-model lines and your order's place in the queue

We rarely run a single model for weeks; a plant our size runs a mix, switching between executive chairs, mesh task chairs and sofas. That mix is planned, not random — we sequence models so changeovers are cheap and the bottleneck stays fed. For your order, the practical consequence is that the date depends not only on your quantity but on what else is in the queue and how well your model fits a line that is already set up for its family. A buyer who orders within a family we run regularly slots in cleanly; an unusual one-off spec may need a setup window. None of this is hidden — ask where your order sits and we will tell you, because a surprise in the queue is a surprise in the date, and we manage order risk by not having those.

This is also why a realistic date beats an optimistic one. If the takt your date demands is faster than our balanced bottleneck, the only way to "make" the date is overtime or green labor — and that is exactly where quality at volume slips. We build to BIFMA / EN methods with third-party testing arranged per order. Send the model and quantity to the export desk, see the range on the products page, and we will run the numbers for your program.