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Course Catalog 2013-2014
TTE-54106 Automation Technologies for Intelligent Manufacturing Systems, 2 cr |
Additional information
The course is implemented as an intensive short course during the 2 first weeks of August 2014
Suitable for postgraduate studies
Person responsible
Lastra Jose Martinez
Lessons
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Requirements
To complete and pass the set of assignments
Principles and baselines related to teaching and learning
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Learning Outcomes
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. Student should demonstrate modelling and analysis skills for the given problem and understand the concepts of reconfigurability seen at different levels of the manufacturing system.
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 |
Instructions for students on how to achieve the learning outcomes
Based on the final assignment the course can be either passed or failed. Student should demonstrate modelling skills in given problem and understand the concepts reconfigurability applied at different levels of the manufacturing system.
Assessment scale:
Evaluation scale passed/failed will be used on the course
Prerequisite relations (Requires logging in to POP)
Correspondence of content
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |