With artificial intelligence driving industry 4.0, manufacturing and natural resource industries are under pressure to integrate decision-making software into their physical production systems. Researchers at Université Laval are investigating how to help them successfully automate processes and manage big data.
Something very significant is happening in the manufacturing sector. More and more, we’re seeing integration of physical and digital systems. The results are digital representations of plants and entire supply chains.
Jonathan Gaudreault, professor, Department of Computer Science and Software Engineering, director, Consortium de recherche en ingénierie des systèmes industriels 4.0
- FORAC Research Consortium Faculty members
- Consortium de recherche en ingénierie des systèmes industriels 4.0 Director: Jonathan Gaudreault, professeur titulaire, Department of Computer Science and Software Engineering
- Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) Assistant director for Québec City: Nadia Lehoux, professeure titulaire, Department of Mechanical Engineering
- Centre de recherche sur la géologie et l'ingénierie des ressources minérales (E4m) Research director: Georges Beaudoin, professeur titulaire, Department of Geology and Geological Engineering
- Big Data Research Centre (BDRC) Director:
My project aims to support coordinated decision-making at the procurement and production system levels. I want to help people work together more effectively to deal with constant changes in available resources by harnessing the concepts of data quality, uncertainty, and collaboration.
Vanessa Simard, PhD student in mechanical engineering (concentration in industrial engineering) supervised by Nadia Lehoux, professor, Department of Mechanical Engineering
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