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Syllabus for

Academic year
MPR271 - Simulation of production systems
Syllabus adopted 2012-02-19 by Head of Programme (or corresponding)
Owner: MPPEN
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Mechanical Engineering

Teaching language: English
Open for exchange students
Block schedule: C

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0107 Project 7,5 c Grading: TH   7,5 c    

In programs



Bitr professor  Björn Johansson
Docent  Anders Skoogh
Univ lektor  Bertil Gustafsson


MPR270   Manufacturing simulation


For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Same as for the Production engineering programme, MPPEN.


The course vision is to provide an in-depth insight about the potential of the virtual world in industrial innovation processes. This includes establishing an improved awareness about methods and tools for the integration of simulation technology in product, process and production development work procedures. Simulation tools have proven to be very powerful in the development of sustainable production systems covering economic, ecologic and social aspects throughout entire product life-cycles.

The purpose of the course is to give an overview of the various virtual techniques used in modern industrial processes. A specific aim is to build a model of a production system using a professional discrete event simulation software package. This model, combined with established theory, will then be used to advance the students¿ skills in designing and improving production flows.

Learning outcomes (after completion of the course the student should be able to)

Describe and demonstrate how Discrete Event Simulation can be applied as a tool for increasing sustainability in production.
Describe and apply essential concepts for Discrete Event Simulation, especially those related to production flows.
Compare Discrete Event Simulation to other static and/or deterministic production development tools.
Explain the concept of Emulation and list common application areas.
In good order describe a systematic methodology for Discrete Event Simulation projects.
Create a conceptual model describing the logics in smaller production flows.
Manage the necessary input data for Discrete Event Simulation models.
Show skills in using a professional Discrete Event Simulation software package.
Develop stochastic and dynamic models of common manufacturing operations and entire production flows.
Describe the Theory of Constraints and apply it.
Design a rational experimental plan for increasing efficiency of the modeled production system.
Apply design of experiments on a simulation model in order to identify improvement options in production systems.
Argue for and against solutions with the purpose of increasing efficiency in a production system, based in the statistical output from a simulation model.
Summarize and reflect on a scientific paper and convey the results in an oral presentation with clear illustrations within allotted time.
Use proper visual aids to support the results of both simulation projects and oral presentations.
Describe the work procedure and results of a credible simulation project in a well-structured technical report.


The course covers the following topics:
- Theoretical basics of Discrete Event Simulation
- Discrete Event Simulation for Sustainable Production
- Systematic methodology for Discrete Event Simulation projects
- Theory and practice for building models with a professional DES-software
- Theory for collecting data, applied statistic and experimental design
- Theory of Constraints for analyses of production flows
- The virtual world as a visual communication channel for efficient Concurrent Engineering


The course applies a problem oriented pedagogy. Centre of learning gravity lays to a great extent on a project work where the students cooperate in groups of two. The practical learning element begins with some simple exercises to familiarize with a professional discrete event simulation software package.

The project work, which is mandatory for examination, aims to support the students putting a systematic methodology for simulation projects into action. Develop a model representing a poorly performing production flow. Furthermore, with support from Discrete Event Simulation, analyze its weaknesses and in a technical report present proposals for making the production system more efficient. In addition to lectures focusing on theory, the students will read scientific papers and summarize it in an oral presentation.


o CoursePM
o Power-point presentations available
at the course homepage
o Scientific Papers
o Software Manual.


Passed exercises, project report including computer model code and written examination covers all areas in the course. The grading scale is: Failed, 3, 4 and 5.
The result of the project is outstanding regarding grade weights and measures. The result of a written examination, which is mandatory, will serve as decision support to put up or down the grade in borderline cases. The performed quality regarding summarizing a scientific paper is also used as decision support in these cases.

Page manager Published: Mon 28 Nov 2016.