Leveraging Industrial AI to Increase Throughput in Steel Manufacturing
Maximizing steel manufacturing throughput is vital for meeting quotas, gaining a competitive edge, and cutting energy usage and emissions. Industrial artificial intelligene (AI) empowers engineers to optimize processes, enhancing throughput. Discover how a major steelmaker employed industrial AI to forecast ideal speeds for processes like annealing, boosting productivity safely. This session covers a successful industrial AI application and showcases a leading manufacturer aiming for over 10% throughput increase in just one week post-implementation.
Authors:
Venkatesh Muthusamy | Canvass AI
John Murdoch | Canvass AI
Session Chairs:
David Jiang | ArcelorMittal Dofasco
Bertrand Orsal | Dassault Systems
Michael Mayer | SMS group Inc.
Leveraging Industrial AI to Increase Throughput in Steel Manufacturing
Category
Paper and Presentation
Description
Session: Digitalization Applications: AI & Digital Twins
Track: Digitalization Applications
Date: 5/7/2024
Session Time: 2:00 PM to 5:00 PM
Presentation Time: 03:00 PM to 03:30 PM
Track: Digitalization Applications
Date: 5/7/2024
Session Time: 2:00 PM to 5:00 PM
Presentation Time: 03:00 PM to 03:30 PM