Quality Economics
Decision Economics in Metal AM
A practical ‘inspection tax’ model you can use in internal business cases
Metal AM business cases often fail because they calculate the wrong thing. They price powder, machine time, and operator hours, and then they treat quality as a final inspection line item, as though certainty arrives neatly at the end of the build. It doesn't.
In production, quality uncertainty behaves like a tax. It appears as extra CT, additional NDT, review meetings, quarantined parts, rework routes, repeated documentation, missed slots, and the quiet loss of confidence that forces everyone to move more slowly next time.
Call it the inspection tax. A simple model helps expose it:
Inspection Tax =
Extra NDT/CT + Engineering Review + Quarantine Time +
Rework Documentation + Repeat Build Risk + Schedule Slip
Start With The Last Ten Builds
You do not need perfect numbers for this to be useful. Start with the last ten builds that created quality friction. For each one, ask:
- •How many additional hours were spent proving, reviewing, waiting, re-planning, or explaining?
- •How much machine capacity was lost?
- •Which downstream steps were held open?
- •Which customer or programme decision slowed down because evidence arrived late?
That is usually where the real cost sits.
Inspection Is Not The Problem. Using It As A Substitute Is.
The point is not that inspection is bad. In safety-critical AM, inspection remains essential. The problem is using more inspection as a substitute for process confidence. When every uncertain build triggers a larger inspection burden, inspection stops being a quality strategy and becomes a scaling ceiling.
Why Late Discovery Is So Expensive
By the time a problem is found at the end of the process, most of the cost has already been spent. The machine hours are gone, powder is committed, post-processing may be queued, and delivery dates are exposed. In large-format or regulated work, the consequence is rarely just “print another one.” It can become a programme-level delay.
Start With Decision Economics
A better business case for in-situ QA starts with decision economics.
Knowing Earlier
What is the value of knowing earlier?
Targeted Review
What is the value of targeted review instead of blanket uncertainty?
Capacity & Release
What is the value of reducing avoidable NDT, shortening release decisions, and protecting machine capacity?
Confidence Under Pressure
What is the value of confidence when qualification pressure is already high?
Where AMiRIS Fits
AMiRIS is designed around this shift. It captures layer-by-layer in-process data and turns it into decision-ready evidence: anomaly localisation, reporting, comparison, and quality insight that helps teams act before uncertainty becomes expensive.
For Ops leaders, that means capacity protection. For Quality managers, it means stronger evidence and more disciplined exception review. For the business, it means a more honest view of what metal AM quality is really costing.
If you want to make this tangible, start with your inspection tax. Map it. Price it. Then ask what would change if evidence moved upstream.
Price Your Inspection Tax
Request an ROI estimate built on your own builds, inspection approach, and schedule exposure, or download the business case to take into your next internal review.