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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Control Parameter or Noise Factor? The FMEA Cut for Controlsread more
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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.
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AI Applications in Technical Risk Managementread more
This technical article briefly describes the current applications of Artificial Intelligence (AI) in technical risk management.
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Efficiency Filter FMEAread more
FMEA development is labor-intensive! Efficiency and effectiveness in preparation and execution are crucial for the acceptance of FMEA. Efficiency means analyzing the “right” scopes. Effectiveness means realizing the analysis in a targeted manner. The article provides hints on how to achieve these two goals.
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Coupling FMEA with Engineering AI for robust products and stable processesread more
The results of the D- and P-FMEA, in conjunction with the Engineering AI system Analyser®, ensure faster product validation, sustainable quality management, stable processes, and lower manufacturing costs.