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The editorial discusses the need to adapt Failure Mode and Effects Analysis (FMEA) to modern manufacturing, which is increasingly influenced by advanced technologies like AI, machine learning, and IoT. Traditional FMEA methods face challenges such as being resource-intensive and reliant on historical data, which may not capture emerging risks. The integration of digital twins and real-time data monitoring can transform FMEA into a proactive, predictive tool that enhances risk management and improves overall

Author

jrcg0914

Language

EN