Conversation

Production engineering question: anyone know how mean time between failures and mean time to recovery (MTBF and MTTR) vary across lifecycle from tooling to shutdown? I’m looking for typical graphs of both over plant lifecycle for various production models, both bits and atoms.
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I don’t mean basic conceptual bathtub curve or weibull distribution stuff. I mean specific empirical behaviors of MTBF and MTTR typical of say assembly lines, foundries, electronics shops etc.
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Trying to get at differences in production debugging cultures in relation to process differences. Are assembly lines easier to debug than data centers? Are foundries less prone to bugs than chemical plants?
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I work in ceramics, which trend more stable than metals in most every sense. The tech had a 30k yr head start on the science & keeps increasing its lead, so mfg is ultra conservative. High activation energy means refractory (pun intended) tooling: gargantuan lead time, long life.
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