Laser industry news, technology and market intelligence
LasersNewsPost
Laser Additive Manufacturing

Buying additive capacity beats owning it until utilisation is high

A machine idle half the time still depreciates. The threshold is higher than most business cases assume, and the learning curve is the real asset.

By LasersNews Desk··2 min read
Detailed view of a 3D printer head in action creating a design.
Photo by Jakub Zerdzicki on Pexels

A company using additive manufacturing regularly eventually considers bringing it in house. The comparison is usually built on the service bureau's margin: paying a markup on every part versus owning the machine and paying cost.

That framing omits most of what the bureau supplies.

What ownership actually requires

The machine, which is the visible cost and the smaller part of it.

Post-processing. Powder handling and sieving, part removal, support removal, heat treatment, HIP if needed, machining and finishing. Each is equipment, space and labour.

Facilities. Inert gas supply, powder storage meeting fire and explosion requirements, extraction, and floor space rated for the loads.

Expertise. Someone who can set parameters, diagnose build failures, judge orientation and support strategy, and interpret monitoring data. This is scarce and takes time to develop.

Utilisation. A machine running twenty per cent of available hours carries its full capital cost against a fifth of the output.

Where the bureau's value is

A bureau amortises all of the above across many customers, and it has run thousands of builds. That accumulated knowledge — which orientation works, which alloy behaves, which geometry fails — is the actual product, and it is what a new in-house operation lacks.

Bureaux also carry machine variety. A customer needing a different alloy or a larger build volume uses a different machine rather than buying one.

The realistic threshold

In-house generally makes sense when utilisation would be high and sustained, when part designs are stable enough that process knowledge accumulates, when intellectual property or supply chain control matters, and when the organisation can hire or develop the expertise.

It rarely makes sense as a cost reduction on modest volumes, which is the most common justification offered.

A middle path

Many organisations reach a workable arrangement by keeping development and prototyping with a bureau — where variety and expertise matter — and bringing in house only the specific parts that reach volume and stability.

That sequence also builds internal expertise gradually against known geometry, rather than starting with an empty machine and a learning curve to climb under production pressure.

This article was produced by the LasersNews AI desk and reviewed by our editors.

Related reading