Courses persons responsible
Jose Martinez Lastra

Lecturers
Jose Martinez Lastra
Armando W. Colombo

Objectives
One of the significant challenges for current and future manufacturing systems is that of providing rapid reconfigurability in order to evolve and adapt to mass customization. This challenge is aggravated if new types of processes and components are introduced. The objective of the course is to provide in-depth knowledge on new automation technologies for solving the mentioned problems.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Formal specification of flexible production systems applying High-Level Petri Nets
2.	Intelligent supervisory systems
3.	Industrial applications of multi-agent systems for manufacturing control

Requirements for completing the course
To complete and pass the set of assignments

Evaluation criteria for the course

Prerequisites
Prequisite relations (Sign up to TUT Intranet required)

Additional information about prerequisites
The course is offered for students enrolled in the final years of the M.Sc. degree programme having Factory Automation as Major OR for doctoral students of the Departments of Automation, and Mechanical Engineering

Remarks

Distance learning

- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- The course utilizes a learning platform, which? Moddle

- Contact teaching: 20 %
- Distance learning: 80 %
- Proportion of a student's independent study: 0 %

Scaling

Methods of instruction	Hours
Lectures	56
Assignments	40
Total sum	96

Course homepage

Last modified	09.03.2007
Modified by	Jose Martinez Lastra