Link: https://robocoast.eu/en/tuote/iot-in-manufacturing-industry/
Learning outcomes:
- Learn the elements of the data life cycle in the manufacturing environment
- Develop appreciation of data-driven approach over top-down goal-oriented approach in manufacturing and the key functional and non-functional challenges associated with actualizing data-driven approaches
- Understand the software architecture/logical components (aka. IoT data fabric) needed to realize manufacturing as a data-driven practice at scale in an industrial framework
- Learn about tools/approaches for softwarization (aka. Digital Twinning) of the manufacturing environment to support prediction and optimization of the behavior of a production system and its components (i.e., learning based automation)
- Learn the next frontier of smart manufacturing: Artificial Intelligence/Large Language Model and 6G assisted Customized Manufacturing to support the requirements of individual customers at production lines
- Case study: Real-time situational awareness in manufacturing environment using tools/concepts introduced in the module
- Opettaja
Abhishek Kumar
Kotiorganisaatio/hanke: Oulun yliopisto