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Syllabus for

Academic year
MPR271 - Simulation of production systems
Syllabus adopted 2013-02-18 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    

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Docent  Anders Skoogh


MPR270   Manufacturing simulation

Course evaluation:


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 advance the students¿ knowledge and skills in development of production flows, specifically taking dynamic aspects into consideration. A specific aim is to build a model of a production system using professional discrete event simulation software. This model, combined with established theory, is then used to analyze production systems and provide recommendations improving the sustainability performance with focus on the economic and ecologic aspects.

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

After completed course the student should be able to:
LO1: Explain the fundamentals of Discrete Event Simulation (DES) and determine in what situation it is a useful engineering tool.
LO2: Plan and perform a simulation project following a structured recognized project methodology for simulation of production flows.
LO3: Create a simulation model representing a complex production system using a professional DES software package and established modeling techniques.
LO4: Describe and apply techniques for input data management.
LO5: Plan, design, and perform experiments to improve a production system based on a DES model.
LO6: Evaluate various production improvement possibilities using a DES model and knowledge in production systems.
LO7: Describe and exemplify how DES studies can support increased sustainability of production systems.
LO8: Interpret and relate to state-of-the-art knowledge acquired from a scientific paper.
LO9: Communicate and argue for the results of a production simulation study, for example using quantitative data, own analysis and judgments, and model graphics.


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 statistics and experimental design
- Theory of Constraints for analysis of production flows
- The virtual world as a visual communication channel for efficient Concurrent Engineering


The course applies 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 basic 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 them 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 a written "knowledge test" cover all areas in the course. The grading scale is: Failed, 3, 4 and 5.

The result of the project is of outstanding importance for grading. The result from the written "knowledge test", 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.

Students must be approved on all assessment tasks individually (project, tutorial, modelling exercise, knowledge test, and paper presentations) to pass the course.

Page manager Published: Thu 03 Nov 2022.