Busy But Not Profitable
in Manufacturing

The short answer

Full utilisation and thin profit is a customer mix and contribution problem wearing an operations costume. Manufacturers carry a specific bind here — the $45M automation case depends on the very customer that causes the margin problem. Until that is priced, contribution per machine hour will keep moving for reasons nobody can attribute, and the debate about contribution by job or account will stay a matter of opinion.

When utilisation sits high and the plants still do not cover their costs, the instinct is to look for scrap or changeover losses. Some always exist, yet cutting them will not close the gap because the cause sits upstream: the orders being accepted do not cover the machine hours, scrap rate and changeover time they actually consume.

The pattern repeats across the three plants. A handful of customers generate positive contribution per machine hour. The remaining volume fills the schedule, keeps takt tight and leaves the bank balance flat. Because that volume occupies the constraint, the higher-contribution work cannot grow; the limit is not demand but the fact that the constraint is already occupied by the wrong mix.

The fix is therefore a selection rule, not another productivity programme. Once every job and customer is ranked by contribution per machine hour, the decision on what to keep or drop follows directly.

Manufacturers running three plants at $310M revenue reach this point when the $45M automation case is tied to the customer that already drives the margin problem: high utilisation is reported, yet the contribution per machine hour for that volume remains negative after scrap and changeovers are counted.

How to tell this is actually your problem

These three together are the signature. One on its own usually points somewhere else.

✓ Capacity utilisation stays high while monthly contribution per machine hour for the overall mix cannot be stated without a special report.
✓ One or two customers account for most of the scheduled hours, yet their margin after scrap and changeover is known to be low or negative.
✓ New orders are still taken even when they require extended runs that displace higher-contribution work already in the queue.

The move that usually makes it worse. Authorising the $45M automation investment before the mix is corrected, which simply adds capacity for the same low-contribution volume and enlarges the problem.

Who this is for — and who it is not

It is for you if you run or finance a manufacturer and everyone is fully occupied and cash is tight. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.

It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

What this looks like when the analysis is actually run

Below is an excerpt from a real run of this analysis on a manufacturer. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.

The subject is Kessler Industrial Components, a sample company profile used for testing rather than a customer — $310M revenue, three plants.

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For manufacturers it works through contribution per machine hour, capacity utilisation, customer concentration and scrap, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.

You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.

Questions people ask about this

How do I know which work to stop taking?

Rank by contribution per unit of your real constraint — machine hour, billable hour, delivery slot, square foot. Not by revenue, and not by gross margin percentage, both of which reliably favour the wrong work when the constraint is capacity.

Will turning away work damage the relationship?

Sometimes, and it is usually cheaper than the alternative. In practice a price that reflects what the work consumes either makes the account profitable or moves it to a competitor, and both outcomes are better than the current one.

Is this a pricing problem or an efficiency problem?

Test it: if every job ran perfectly with zero waste, would the thin ones make money? If the answer is no, it is pricing and selection, and no efficiency programme will reach it.

Is this different in manufacturing than in other industries?

Materially, yes. The $45M automation case depends on the very customer that causes the margin problem — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are contribution per machine hour, capacity utilisation, customer concentration, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a manufacturer?

Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on contribution per machine hour and capacity utilisation. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.

When is Percision the wrong tool?

Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.