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How Hardware Startups Use Design of Experiments to Optimize Tolerances
Episode 56 of Hardware Startups with Fexingo. Lucas and Luna dive into Design of Experiments (DOE) — a statistical method that hardware startups use to optimize part tolerances and save thousands in manufacturing costs. They break down a real scenario: a startup making a temperature sensor enclosure that initially had a 15 percent reject rate. By running a fractional factorial DOE on just 8 prototype batches instead of 128, the team identified the critical tolerance stack-up causing warpage, slashing defects to under 2 percent. Lucas explains how DOE helps startups avoid over-engineering —…
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