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Makeready Was Budgeted Once. Why Did the Job Need It Three Times?

Makeready cost grows when jobs are split, resequenced, repeated across processes or restarted after interruptions. Estimating should reflect the setup events the actual production route is likely to require.

The short answer

Makeready should be estimated as the number of setup events the job is expected to require across its real production route. One sales order can create several setups if the run is split, repeated on different machines, restarted after interruption or processed through multiple finishing operations.

The estimator should therefore ask how many times will each process need to become ready for this job?, not simply apply one generic setup allowance.

How this connects to the pillar

The broader estimate-to-margin model is covered in The Quote Won the Job. Will the Job Still Make the Margin You Expected?. Setup assumptions are a common reason apparently profitable short or complex jobs underperform.

Separate fixed setup from run time

Makeready is usually a fixed cost per setup event.

Run time varies with quantity.

That distinction matters most on short runs.

If a setup takes forty minutes, doubling the run quantity does not double the setup cost.

Estimating should preserve that relationship.

Identify setup events by process

A packaging job may require setup on:

  • prepress output;
  • printing press;
  • laminator;
  • foil machine;
  • die-cutter;
  • folder-gluer;
  • packing line.

Each process can have a different setup pattern.

Do not bury all setup in the press estimate if downstream equipment also requires meaningful changeover.

Count split runs

The same job may run in two periods because of:

  • partial delivery;
  • material availability;
  • capacity;
  • customer priority;
  • version mix.

Each restart can require additional setup.

If split delivery is known at quotation, cost the likely number of runs.

If it happens later, capture the variance.

Include version changes

Multiple artwork or language versions can share material and tooling but still require plate, file, color or inspection change.

Estimate version changeover deliberately.

Ten versions of a small quantity may be far more setup-intensive than one large run.

Model color and wash-up burden

Color changes can add setup and cleaning.

Special inks, coatings or white ink may require more work.

The right allowance depends on equipment and sequence.

Where job sequencing can reduce changeover, planning and estimating should use compatible assumptions.

Include tooling setup

Die, foil, embossing or other tooling can require installation, alignment and first-off approval.

The tool may already exist, but setup is still necessary.

Do not confuse “no new tooling cost” with “no tooling setup cost.”

Include approval and first-off time

Some jobs require a detailed first-sheet or first-piece approval.

That can extend makeready.

If a customer or internal quality team must approve before full run, estimate the expected process.

Waiting time may need separate treatment from productive setup time.

Distinguish normal setup from abnormal restart

A machine breakdown or unexpected hold can create an extra restart.

That is not necessarily an estimating failure.

Classify the cause.

The estimate should learn from recurring normal patterns, not every unusual incident.

Use sequence to reduce actual setup

Makeready cost is not purely fixed.

Planning can reduce it by sequencing compatible jobs:

  • same substrate;
  • similar colors;
  • common tooling;
  • same coating;
  • same format.

The estimate may assume standard setup while operations creates improvement through sequence.

That favorable variance can become future evidence if it is repeatable.

Measure setup time by job family

Historical averages are useful when grouped meaningfully.

A simple two-color commercial job should not set the standard for a multi-color premium packaging job.

Segment by drivers such as:

  • press;
  • color count;
  • material;
  • tooling;
  • finish;
  • job length;
  • complexity.

Use enough detail to explain cost without building an impossible model.

Connect makeready to waste

Setup consumes both time and material.

If estimating models setup hours but forgets setup sheets, margin can still be wrong.

Likewise, production improvement that reduces makeready may improve both capacity and material yield.

Review these effects together.

Include labour configuration

Setup may require more people than normal running.

A press crew, finishing team or technical specialist may all be involved.

If labour cost is material, the setup rate should reflect the real crew.

Do not assume the run-phase labour configuration applies automatically.

What management should measure

Useful indicators include:

  • estimated versus actual setup events;
  • estimated versus actual makeready time;
  • setup sheets or material;
  • repeated restarts;
  • setup by version;
  • setup by process;
  • changeover time by job family;
  • jobs where setup dominates total cost.

These indicators are especially valuable for short-run profitability.

ACC and Jupiter context

Jupiter supports job-based estimating and production for printing and packaging, allowing setup assumptions, routing and actual job performance to remain connected. That makes makeready a measurable job-cost driver instead of a hidden factory overhead. Explore Jupiter for printing and packaging.

Operational review point

Choose five low-margin short-run jobs.

Count the actual setup events across every process.

Compare them with the estimate.

If the estimate assumed one setup but production performed three, determine whether the split was known, preventable or an execution exception.

Use setup data to support pricing tiers

Short-run pricing often depends heavily on fixed setup.

A clear setup model helps the business explain why unit price changes sharply at lower quantities.

It can also support sensible break quantities where another setup or production method becomes more economical.

The commercial team gains a defensible quantity-price relationship instead of a rough discount table.

Review setup after process automation

New automation can reduce setup time.

If the plant installs faster plate change, automatic wash-up or improved tooling systems, estimating standards should eventually reflect the real improvement.

Otherwise the business may continue pricing from an outdated cost base and lose competitiveness.

Use actual evidence before changing the standard.

Cost planned interruptions differently from unplanned ones

A job may intentionally pause for drying, approval or staged delivery.

That does not always require a full repeat makeready.

Estimate the real restart requirement.

Conversely, an unplanned stop may require cleaning, new setup material or another first-off check.

Distinguishing these cases improves both costing and variance analysis.

Track setup learning on repeat jobs

Operators often reduce setup time as the same product returns.

If repeat-job history shows a reliable improvement, estimating can use a more realistic repeat setup assumption.

Do not assume zero setup merely because the tool and artwork already exist.

Reuse reduces some work; it rarely eliminates all preparation.

Include changeover opportunity cost at the bottleneck

On a constrained machine, a long setup has more consequence than the direct labour and machine rate.

It also consumes scarce time that could run another job.

Pricing strategy may therefore treat bottleneck-heavy short runs differently during peak periods.

The estimate should at least make the setup burden visible enough for management to decide.

Use first-off approval data to improve setup assumptions

If first-off approval regularly takes longer than expected for certain customers, substrates or effects, the estimating model should know.

The cause may be color tolerance, structural fit, barcode verification or customer presence.

Group the evidence by meaningful driver rather than applying one longer setup to all jobs.

Measure setup as elapsed and active time separately where useful

Some setup includes waiting for approval, drying or another dependency.

Machine and labour may not be fully occupied throughout that elapsed period.

Separating active setup from waiting can improve costing and scheduling decisions.

The level of detail should match business value; avoid measurement that costs more than it saves.

Use setup variance to improve process design

Repeated long makeready may reveal missing tools, poor job information, material staging problems or weak standard settings.

Do not treat all setup variance as estimator error.

Some of the best margin improvements come from reducing actual setup rather than increasing the quoted allowance.

Reflect setup improvements in customer economics deliberately

When setup falls, the business gains more than a lower internal cost.

It may become competitive at shorter runs or faster turnaround.

Management can decide whether to use the improvement to increase margin, lower price, win new work or create capacity.

The estimate should make that benefit visible.

Consistently.

Frequently asked questions

Is makeready always a fixed time?

It is usually more fixed than run time, but complexity, material, color, tooling and approval requirements can change it.

Should finishing setup be included separately?

Yes where it is material. Press setup alone may understate a multi-process packaging job.

What if production split the run for convenience?

Capture that as an execution or planning variance unless the split was part of the commercial requirement.

Can better sequencing improve margin?

Yes, where compatible sequencing reduces setup, cleaning, material waste or restart effort.

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