The digital transformation is rapidly driving the use of AI-based solutions, including in the area of failure mode and effects analysis (FMEA). We are observing a familiar cycle: from initial euphoria through a phase of disillusionment to the establishment of realistic and practical applications.

Many hope that AI can almost completely automate the creation of FMEAs. But is this really realistic? Our webinar will provide you with the first answers to this exciting question.

In our event, we will shed light on the following aspects:

1. The voice of the customer is transferred via QFD approaches into design features for systems and components as well as corresponding process features.
2. Updating risk analyses: AI-based technologies enable increasingly precise adaptation of risk analyses based on current field data.
3. Optimisation of robust design and verification: The use of AI optimises the generation of knowledge for robust system designs and the development of efficient verification and validation processes in product development.
4. Optimisation of robust process design and its validation: The use of AI optimises the generation of knowledge for robust manufacturing processes and the development of efficient verification and validation procedures in process development.

The result: AI uses cause-effect relationships to robustly set target values and tolerances for design and process characteristics and predict corresponding reliability indicators / process capability indices.

Learn how AI makes FMEA and engineering an unbeatable team that raises the quality and reliability of products and processes to a new level. Join us and discover the future of FMEA with engineering AI capabilities!