Seminario - QLT 300 EN
Process and design FMEA - (Failure Mode and Effect Analysis)
I
Addressed to:
Managers in Research and Development, Production and Quality Managers, Continuous Improvement Managers, Engineering Managers.
Key Objectives
- Use this effective methodology as a tool to anticipate prevent risks and errors both during product development and during the manufacturing process.
- Apply the Product and Process FMEA tool in the correct context.
- Increase the reliability of processes and products.
- Correctly interpret understand a D-FMEA and P-FMEA analysis.
- Integrate the use of artificial intelligence to improve the accuracy and efficiency of FMEA analyses.
Core Content
FMEA as a tool for prevention and improvement:
- Historical origins of FMEA.
- Formalize information for prevention.
- Impact on quality and reliability.
- Analysis of possible failures.
- Classification/elaboration of corrective actions.
- Living document: real-time change management.
- New features introduced by the harmonization of VDA-AIAG methods.
Product FMEA methodology (Design FMEA):
- Preparation for analysis.
- Definition of the problem.
- Creation of the list of failure modes.
- Procedure for completing the form.
- Documentation required for FMEA work development.
- FMEA indices: probability, severity, detectability.
- Evaluation criteria for indices (P, S, D).
- Calculation of RPN (Risk Priority Number).
- Standards to be respected and corrective actions.
- Correct interpretation of the meaning of the terms and parameters used.
- Guidelines on how to classify the level of FMEA, the "probability of occurrence" and the "probability that the defect or a defective product will reach the customer".
Process FMEA (Process FMEA):
- Process flowchart and functional analysis of individual phases.
- Determination of critical process characteristics in relation to product characteristics.
- Identification of failure modes.
- Develop the risk profile of failures.
- Setting risk mitigation actions.
- Verify the effectiveness of actions on the process and/or product.
Integration of Artificial Intelligence in FMEA:
- How AI can support the identification and assessment of risks.
- Analysis of historical data to improve the accuracy of FMEA predictions.
- Practical examples of AI application in D-FMEA and P-FMEA analyses.
You will experience
- Operational exercises also using personal cases.
- Examples of D-FMEA and P-FMEA analysis to discuss together.
- Practical demonstrations of using AI to improve FMEA analyses.
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