Predicting cracks in steel & Optimizing warehouse management with GPS – Jonas Forsman, CGI


Uddeholm is a world leader in steel production. They have a complex production process open for improving every simple step with advanced technology. This session will present two case studies where machine learning is used to predict cracks in steel and where in the process to find the hotspots and the potential cause for quality issues. Moving the steel around is a cumbersome process and is handled by big for lift trucks. To find and optimise the route for the trucks GPS is used together with CGI:s warehouse management solution FAGUS.

Key takeaways:

  • How to use ML to find problems and optimise complex production processes
  • How to use GPS to track goods and optimise route handling in a warehouse management system
  • How innovation can be used to significantly improve traditional manufacturing processes

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