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How do you prevent downtime with on-demand parts?

On-demand SLS production reduces downtime in two ways. Reactive: part breaks, replacement at you within 3-5 working days, no waiting for the original supplier. Proactive: critical spares as CAD file on the shelf (with us or you), print on demand without inventory cost. Ideal for legacy machines and discontinued parts.

3 working days From reactive delivery
1 piece No MOQ
0 Inventory cost with CAD-on-shelf
€0 Setup per order
Unlimited CAD archive retention

Reactive: part breaks, you call us

Scenario: a crucial machine part breaks. Original supplier says “6-8 weeks”, your line is down.

Alternative: send us the broken part or a STEP file. We print a replacement in the optimal material within 3-5 working days. For plastic SLS can handle practically any geometry. For metals: refer to partners.

For rush orders: rush service (2 working days) at a premium. Often saves weeks of downtime and tens of thousands in missed production.

Proactive: critical spares as file

For recurring risk parts (e.g. you know gear X wears every 6-9 months): no physical inventory needed. Requirement: the CAD file must be ready.

You keep the file – Customers who order with us get the optimised CAD. On the next order you have a fresh quote within minutes.

We keep it for you – For recurring replacements we lock CAD + process parameters. You send “print 2 pieces of part number X” and we print. No setup cost, fixed price.

What it delivers structurally

Customers who adopt on-demand seriously report: 40-70% lower spare parts inventory, average recovery time in days instead of weeks, and structurally lower risk buffers because replacements are always available.

For legacy machines where the original supplier no longer delivers, on-demand SLS is often the only realistic source.

For large production lines: our engineers together with your maintenance team can inventory a portfolio of critical parts, reverse engineer them and make them digitally available. One-time investment that often pays itself back in one downtime incident.