Case study · Manufacturing · United Arab Emirates

The press does not lie. The costing system did.

In short. A UAE aluminium extrusion manufacturer costed products with plant-wide averages, so complex profiles and finishes looked cheaper than they were and simple high-volume work looked worse. A TDABC model put separate capacity cost rates on press, anodising and fabrication, and re-drew the margin ranking across the product mix.

Published with the client's consent, identity withheld · TDABC

3
economic machines under one roof: press, anodising, fabrication, each with its own capacity cost rate
Minutes
and rates instead of allocations and arguments: cost per product, per finish, per order size
0
new shop-floor systems. Production logs, die records, energy bills and the ERP were enough.

THE ENGAGEMENT

Phase 1

Scoping

Which finishes earn their price, which families are subsidised: the questions framed as cost objects.

Phase 2

Data intake

Production logs, die records, energy bills, ERP extracts. Nothing new installed.

Phase 3

Model build

Pools per process stage, practical capacity per stage, time equations per routing. CONFIRM: duration

Phase 4

Handover

Rates refresh with the budget; routings update as products change. CONFIRM: owner + cadence

01The challenge

Shared machines, unequal products.

A thin architectural profile and a thick industrial section pass through the same press, but they do not consume it equally: different die changeovers, different speeds, different scrap, different recovery.

Downstream, the inequality compounds. Some products go straight to packing. Others pass through anodising, with its own tanks, cycle times and energy profile, or through fabrication: cutting, punching, machining, assembly.

The client's costing spread these very different consumptions with broad averages. The commercial consequence was familiar: quotes confident to the third decimal, built on cost figures wrong in the first. Which finishes genuinely earned their price, and which product families were quietly subsidised, nobody could say.

02The approach

Why model press, anodising and fabrication separately?

Because they are three different economic machines under one roof, each with its own capacity and its own cost of being available.

01

Cost pools by process stage

Press lines, anodising line, fabrication cells, plus the supporting pools: die shop, quality, planning, logistics, administration.

02

A capacity cost rate for each pool

Cost of capacity supplied divided by practical capacity. For the press, productive press hours after realistic allowance for die changes, maintenance and start-up scrap. For anodising, loaded tank hours. For fabrication, cell hours. CONFIRM: rates or ranges approved for publication

03

Time equations per product

Press minutes as a function of profile weight, complexity and batch size; anodising minutes as a function of surface area, film thickness and racking; fabrication minutes by operation. Scrap and recovery entered the equations rather than an overhead percentage.

04

The client's own data

Production logs, die records, energy bills and the ERP. No new shop-floor systems.

The result was a cost per product, per finish, per order size, that a production manager could read and recognise.

THREE MACHINES, THREE RATES

Product A Product B Press Anodising Fabrication capacity cost rate = cost of capacity supplied / practical capacity capacity cost rate = cost of capacity supplied / practical capacity capacity cost rate = cost of capacity supplied / practical capacity Products consume stages unequally. Averages pretend they do not.
Three machines, three rates. Product A consumes the press only; Product B consumes all three stages.
03What the model showed

Averages had been taxing the simple and subsidising the complex.

The margin ranking changed materially. High-volume, low-touch profiles carried cost that belonged to short runs with heavy changeovers. Once true consumption was attributed, the ranking of the product families was re-drawn. CONFIRM: number of product families whose margin ranking changed

Anodising was not one price. Costed on surface area and cycle time rather than a flat per-kilo adder, some finish and thickness combinations were priced well below their consumption. CONFIRM: share of anodised volume found priced below full cost

Batch size was the hidden driver. The same profile could be comfortably profitable at production batch sizes and loss-making in small repeat orders, because die changes and set-up consumed press capacity the price never recovered. The model made the break-even batch size visible per profile. CONFIRM: example break-even batch figure approved by the client

The plant did not have expensive products. It had expensive combinations.

MARGIN, BEFORE AND AFTER ATTRIBUTION

Average costing TDABC Margin ranking Family A Family B Family C Family D Family E Family B Family C Family A Family D Family E Same products. Different truth.
Illustrative of the pattern found: the margin ranking of product families changed once true consumption was attributed.
04What the client did with it

Quoted from consumption, not from averages.

01

Quoted from consumption

The commercial team received cost curves per profile and finish, with batch size as an explicit variable in pricing.

02

Repriced the outliers

Finish and batch combinations priced below cost were corrected at renewal or bounded by minimum order quantities.

03

Re-examined the mix

Sales attention shifted towards families where the plant's capacity earned most per press hour, which is the scarce resource that actually constrains an extruder.

04

Kept the model as an operating tool

Rates refresh with the budget; routings update as products change. CONFIRM: refresh cadence and owner

05The outcome

A shared language between finance, production and sales.

The engagement gave the plant minutes and rates instead of allocations and arguments. The first pricing round run on the model delivered CONFIRM: client-approved outcome, e.g. margin uplift on repriced items.

When the scarce resource is press hours, profit per press hour is the number that runs the business.

06FAQ

Fair questions.

Does TDABC cope with scrap and recovery in extrusion?
Yes, and it should. Recovery enters the time equations and material equations directly, so a profile with poor recovery carries its own waste instead of hiding it in plant overhead.
We already have standard costing in the ERP. Why is this different?
Standard costs are usually built on plant-wide or department rates and updated annually. TDABC rates are built per process stage on practical capacity, and time equations cost each order's actual routing and batch size. The difference is largest exactly where quotes are won and lost: small batches and complex finishes.
How long did the model take to build?
Weeks, on data the plant already had. CONFIRM: actual duration The longest step is usually agreeing practical capacity per stage, which is a management conversation, not a data problem.
Can this extend to energy costing?
Naturally. Anodising and press energy are significant pools, and attributing them by cycle time and surface area is exactly what the time equations do. This also gives a defensible base for carbon-per-product reporting later.
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