How Hardware Startups Use Design of Experiments to Optimize Tolerances Titelbild

How Hardware Startups Use Design of Experiments to Optimize Tolerances

How Hardware Startups Use Design of Experiments to Optimize Tolerances

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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 — finding the cheapest combination of tolerances that still works. Luna highlights a counterintuitive finding: sometimes loosening one tolerance actually improves yield. They also touch on how to integrate DOE into the prototyping phase without slowing down development. No prior statistics background needed. A practical guide for any hardware founder facing assembly issues. #DesignOfExperiments #DOE #ToleranceOptimization #HardwareStartups #Manufacturing #StatisticalProcessControl #LeanManufacturing #SixSigma #FractionalFactorial #Prototyping #YieldImprovement #CostReduction #Engineering #ProductDevelopment #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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