MG2038 Digital Factories 6.0 credits

Digitala fabriker

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.

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Course information

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

Course Disposition

No information inserted

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

Grading scale *

A, B, C, D, E, FX, F

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

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Lars Wingård

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web MG2038

Offered by

ITM/Production Engineering

Main field of study *

Mechanical Engineering

Education cycle *

Second cycle

Add-on studies

No information inserted

Contact

Gunilla Sivard, sivard@iip.kth.se

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.