Fabrizio Manfredi

Pr. Solution Architect | AWS Milano, Italy
Fabrizio Manfredi


Fabrizio is a Principal Solutions Architect for Industrial IoT at Amazon Web Services (AWS). His current area of focus is working with the VW Digital Production Platform on connected factory, predictive quality and maintenance solutions. Before that, he delivered strategic projects concerning smart products and distributed data systems.


Parallel Session | IOT Solutions World Congress

How to Predict Quality Control and Detect Anomalies on an Automotive Body Assembly Line

Fabrizio Manfredi
Fabrizio Manfredi AWS Pr. Solution Architect Speaker
Mathias Mayer
Mathias Mayer Audi Engineer Speaker
Martin Wagner
Martin Wagner Volkswagen Product Manager Speaker

#Automotive, #Cloud Computing, #Manufacturing, #Predictive Maintenance

02-02-2023 12:00 02-02-2023 12:30 Europe/Madrid How to Predict Quality Control and Detect Anomalies on an Automotive Body Assembly Line

The quality of a welding spot is a critical step in the process of assembling of the body of a car.Today the quality of the welding spot is based on manual operation testing a small quantity of the production.In this session we will present a real-time “in process” technology for the analysis of welding spot quality (Resistance Welding Spot Process Analytics) using AWS IoT solutions and a machine learning model developed by Audi. This new technology, predicts the quality of the weld spot, detects production anomalies and identifies welding process optimization for newly produced vehicles.

Room 4
Thu 2 12:00h - 12:30h Room 4

Pedro Mier

Pedro Mier holds a degree in Telecommunications Engineer ing from the Polytechnic University of Catalonia, MBA from ESADE and PADE from IESE. He is currently President of AMETIC (Association of Electronics, Information Technology and Telecommunications Companies of Spain), Shareholder and Chairman of the Board of Directors of TRYO Aerospace & Electronics, Board Member of the Premo Group and Committee of CTTC. member of Space Angels Network and Member of the Sc ientific Advisory