The most expensive part of an AI-supported FMEA is not the licence, but the thinking you pay for anew on every run. This article carries a proven DC benchmark into the AI age: Method Mastery. It shows why the right order, method before model, decides predictable cost, reproducible results and the question of who evaluates in the end: the human or the machine.
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Method-safe FMEA@AI: why the method belongs before the modelread more
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FMEA Step 6: understand risk as a knowledge gap! Minimising risk through knowledge generation and applicationread more
Ask three standards what a risk is, and none tells you what to do tomorrow morning. This article defines risk operationally as a knowledge gap and shows how Step 6 of the FMEA minimises the risk: through knowledge that is generated and applied in the design. This turns the action list into a plan that creates robustness instead of documenting confidence.
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SAE 1025 and AIAG-VDA: Two FMEA Worlds, One Method Coreread more
SAE 1025 arrived in January 2026 as a new FMEA standard. Do you now need a second FMEA organisation? No. Both standards share the same method core, only the configuration follows the supplier regime.
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Control Parameter or Noise Factor? The FMEA Cut for Controlsread more
In the FMEA, a single question decides which control actually works: can you set the parameter, or do you only get it? Anyone who cleanly separates control parameters (Cᵢ) and noise factors (Nᵢ) chooses between a prevention and a detection control not by gut feeling but by a test criterion. This article shows the decisive cut, the mandatory criteria and a concrete worked example.
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System-based DFMEA – A Systems Engineering approach to DFMEAread more
Author: Dr. Saéd Ehsani System-based Design FMEA combines the thinking behind systems engineering with classic FMEA, thereby creating a clear, logically structured basis for risk analyses of complex mechatronic products. This approach reduces ffailure propagation paths, increases the robustness of product functions, and enables more efficient development processes. It is a modern way of improving product reliability in a structured and sustainable manner.
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Lessons Learned (LeLe) in the context of FMEAread more
Lessons Learned develop solutions for specific problems and make them available for future applications. They are a central success factor for the future viability of companies.

