Skip to main content
Till KTH:s startsida Till KTH:s startsida

MG2038 Digital Factories 6.0 credits

This course deals with the complexity of combining changing information of various kinds. We present industrial use cases together with methods for modeling and managing digital information from different applications, with practice in a fictive digital factory.

The ability to use and manage industrial information is increasingly important in manufacturing. Industry sees a broadened use of CAD, simulation, performance data and intelligent devices, in design and production, inside and between organizations.

In addition to improved efficiency, this brings opportunities of completely new business values based on the collection and sharing of large amounts of data and information.

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

Headings with content from the Course syllabus MG2038 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Lecture with introduction to digital factories:

-     What is a digital factory and why is it needed?

-     Relations between digital and real factories.

-     An example of a digital factory with its software for discrete production.

Guest lectures from industry about use and benefits of digital factories

Lectures about and exercises and assignments in information modelling, databases and information standards

Computer exercises in software used for development of and data handling in digital factories

Project about a concrete application of a digital factory

Intended learning outcomes

After passing the course, the student will be able to:

  1. explain what is meant by digital factories and their relation to real factories
  2. use selected IT tools as part of a digital factory for production development
  3. use information modelling to describe and specify information and information flows in a digital factory
  4. analyse and explain in own words how information can be handled and coordinated between different IT systems in a digital  factory
  5. adapt and evaluate the information model of a digital factory to changed prerequisites and in own words describe benefits and drawbacks of different solutions
  6. propose and motivate how an information architecture should be designed to be able to combine development information with large amounts of data from the production process

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

No information inserted

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

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

Examination

  • LAB3 - Computer labs and exercises, 1.5 credits, grading scale: P, F
  • PRO3 - Project, 2.5 credits, grading scale: A, B, C, D, E, FX, F
  • TEN3 - Written exam, 2.0 credits, grading scale: A, B, C, D, E, FX, 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

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.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Mechanical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Magnus Lundgren, brix@kth.se