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MG2130 Modelling and Simulation of Industrial Processes 9.0 credits

In this course you will learn about theories, methods and tools used in development of factories.

About course offering

For course offering

Autumn 2024 Start 28 Oct 2024 programme students

Target group

Compulsory for TPRMM, year 1

Elective for all other Master programmes as long as it can be included in your programme.

CMAST4, CDEPR4 course within technical profile

Part of programme

Degree Programme in Design and Product Realisation, åk 4, INE, Conditionally Elective

Degree Programme in Mechanical Engineering, åk 4, INE, Conditionally Elective

Degree Programme in Mechanical Engineering, åk 4, MTH, Conditionally Elective

Degree Programme in Mechanical Engineering, åk 4, SUT, Conditionally Elective

Master's Programme, Production Engineering and Management, åk 1, Mandatory


Autumn 2024: P2 (4.5 hp)

Spring 2025: P3 (4.5 hp)


28 Oct 2024
16 Mar 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Autumn 2024 Start 28 Oct 2024 programme students

Application code



For course offering

Autumn 2024 Start 28 Oct 2024 programme students


Magnus Lundgren (


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Course coordinator

No information inserted


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Headings with content from the Course syllabus MG2130 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • terminology and basic theory for modelling and simulation of part manufacturing
  • process planning – design and simulation of the manufacturing process in a CAM progra
  • flow analysis for estimating production capacity and lead times, identify bottlenecks and decide buffer sizes, using a software for discrete event-driven simulation
  • planning of a manufacturing plant in a factory layout system
  • interaction between process planning, flow simulation and factory layout during development and analysis of a manufacturing system
  • modelling and simulation of a complex part manufacturing system, based on given preconditions

Intended learning outcomes

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

  • describe different types of models used for model-based development and analysis of manufacturing systems
  • design and analyse operations for a certain manufacturing process, using a CAM system
  • develop and implement a model for discrete event simulation of material flows, when designing and analysing a manufacturing system to be
  • use specific factory layout software to plan a manufacturing plant, based on given preconditions and requirements
  • analyse interaction and mutual influence between manufacturing process, material flow and the layout of the manufacturing system, during model-based development
  • develop a model of a system for manufacturing a given number of an advanced industrial product, including design of process, material flow and layout, based on given manufacturing preconditions

Literature and preparations

Specific prerequisites

MG1016/MG1026 Manufacturing Technology, MG1024 Production,
or the equivalent

Recommended prerequisites

MG1024 Production

or the corresponding


The majority of software used in the course is only available in our own computer labs.


Can be downloaded from Canvas by registered 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


  • LABB - Laboratory Exercises, 1.0 credits, grading scale: P, F
  • LITT - Log Book Writing, 0.5 credits, grading scale: P, F
  • PROJ - Project Assignment, 4.5 credits, grading scale: P, F
  • TENA - Written Examination, 3.0 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

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Opportunity to raise an approved grade via renewed examination

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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

MG2038 Digital Factories


Magnus Lundgren (