Sistemas Inteligentes para a Indústria

The lectures are mostly expository, with presentation and discussion of the topics of the program.
They are also used for presentation and discussion of works and practical examples of application of technologies, including guest lectures.

In practical classes, exercises, practical work and presentations are held.

1. To learn about the most modern industrial applications of AI techniques and models, as well as their advantages and limitations.
2. To learn about modern industrial techniques and applications of vision-based systems.
3. To learn about techniques and tools to support the management of smart warehouses.
4. To learn about decision support tools in industry.

1 Introduction to industrial Intelligent Systems
1.1 Industry 4.0 and Cyber-Physical Systems
1.2 Industrial data, connectivity, digitization
1.3 Capabilities and limitations of intelligent systems
2 Vision Systems for quality and operations
2.1 Basic concepts
2.2 Object detection, defects, counting
2.3-Dimensional verification
2.4 Code reading and traceability
2.5 Applications in production lines
2.6 Practical applications
3 Intelligent Logistics flows, automated warehouses and autonomous mobility
3.1 Digitization of internal logistics
3.2 Essential concepts of AGVs and AMRs
3.3 Navigation, security, mapping
3.4 Application in supply lines and warehouses
3.5 Route simulation, capacity and ROI
4 Industrial Information Systems and Decision Support
4.1 ERP, MES, WMS, CRM
4.2 Decision support platforms in production and logistics

• - Practical work - 40.0%
• - Test (50%) and performance in class (10%) / Exam - 60.0%

NAO