MG2038 Digital Factories 6.0 credits
The ability to rapidly prepare and rebuild a factory for the manufacturing of new products has become an increasingly important issue. One way of speeding up such a change process is to model and simulate the manufacturing and the flow of products in the factory-to-be, even before the start of its construction.
This course deals with models and software that can be used in such a simulation process, with a particular focus on the need for and benefit of standardised models.
Choose semester and course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Application
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Application code
50857
Content and learning outcomes
Course contents
Introduction to digital factories - What is a digital factory and why is it needed? The relation between digital and real factories.
Digital modelling and visualization of manufacturing concepts
Digital modelling and visualization of factory layouts
Guest lectures by company employees on use and value of digital factories
Information modelling, databases and standadised model formats
Computer laborations on a case study of a digital factory including communication and coordination of various purpose models
Intended learning outcomes
After passing the course, the student will be able to:
- explain the principles of digital factories and their relation to real factories
- use selected IT system support as part of a digital factory for production development
- use information modelling for describing and specifying information and information flow in a digital factory
- analyse and, using own words, explain how information can be managed and coordinated between different systems in a digital factory
- adapt and evaluate the information model for a digital factory when changing the preconditions, and in own words describe pro and cons of different solutions
For a higher grade, the student should also be able to:
- propose and motivate how an information architecture should be designed to combine data from production develoåpment with large amounts of data from the production processes
Literature and preparations
Specific prerequisites
Students of a master programme at KTH who have taken the courses:
MG2028/MG2128 CAD and other IT Tools in Industrial Processes
MG2029 Production Engineering - Planning and Control
MG2130 Modelling and Simulation of Industrial Processes
or the equivalent
Recommended prerequisites
MG2028/MG2128 CAD and other IT Tools in Industrial Processes
MG2029 Production Engineering - Planning and Control
MG2130 Modelling and Simulation of Industrial Processes
Equipment
Most of the lab exercises and homework assignments require software which is only available in our own computer labs
Some software can however be downloaded to private Windows computers
Literature
Can be downloaded from Canvas by reguistered course participants
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB2 - Laboratory work, 1.0 credits, grading scale: P, F
- PRO2 - Project, 1.5 credits, grading scale: P, F
- TEN2 - Written home exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
- ÖVN1 - Assignments, 0.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.