Operational Excellence Consulting
in Manufacturing

The short answer

Improvement programmes in manufacturing reliably improve the non-bottleneck machines and cells because those are the ones whose teams have spare capacity to run projects. The version of this question that applies to manufacturers is not the generic one. The $45M automation case depends on the very customer that causes the margin problem — so an answer that ignores contribution per machine hour will be confidently wrong. The analysis has to start from capacity utilisation and customer concentration rather than from revenue.

Every plant has one machine or process that sets the pace for total output at any moment. Effort spent on any other equipment only lengthens the queue ahead of that machine. The constraining machine has no free hours for improvement work, so projects are started by teams that still have available time.

The result is visible activity that leaves units shipped unchanged. Standard work, changeover reductions and scrap-rate boards appear on lines that already run below full capacity utilisation while the actual constraint continues to dictate daily output. Additional projects are then launched, consuming more of the same non-constraint capacity.

The constraining machine is frequently occupied by low-contribution work tied to a concentrated customer. The plant does not have an efficiency problem on that machine; it has a selection problem measured in contribution per machine hour. Efficiency work applied there simply reduces the cost of the unprofitable orders and increases their volume.

Efficiency Transformation Strategy (catalog id T12) begins with the actual constraint, measuring contribution per machine hour, capacity utilisation and the customer mix that occupies it. Where the machine itself is the limit, the analysis identifies the precise mix or changeover conditions needed before added capacity would improve margin.

How to tell this is actually your problem

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

✓ Daily output and shipped units remain flat while completed kaizen events and scrap-rate reductions accumulate on non-constraint lines.
✓ Plant director and department heads name different machines as the bottleneck and the named machine changes after each major changeover or shift.
✓ The largest recorded gains in changeover time and capacity utilisation appear on cells that already run below takt.

The move that usually makes it worse. Rolling out a standard lean programme across all three plants, which directs improvement hours toward the lines that never set the takt.

Who this is for — and who it is not

It is for you if you run or finance a manufacturer and a large number of completed improvement initiatives and unchanged output. 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 Efficiency Transformation Strategy, 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

Is lean or six sigma the better method?

They solve different problems and the choice matters less than the aim. Lean attacks flow and waiting; six sigma attacks variation and defects. If your problem is that things sit in queues, lean. If it is that outputs are inconsistent, six sigma. If you do not yet know which, the method choice is premature and either one will produce activity.

What does an operational excellence programme cost?

Assessment phases run roughly £40k–£120k. Full deployment with embedded practitioners and training is commonly £250k–£1m over a year, often quoted against a promised multiple of savings. Ask how the baseline is set and who verifies the savings, because self-verified benefits are the norm and they are systematically generous.

Can this be done without consultants?

The method can — the material is public and cheap, and plenty of firms have taught themselves. What is genuinely hard to self-supply is the outside judgement about where to aim it and the willingness to say that a favoured department is not the problem. That is the part worth buying, and it is a much smaller purchase than a deployment.

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.