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Graduate courses

Departments' graduate courses for PhD-students.


Syllabus for

Academic year
PPU055 - Simulation of production
Syllabus adopted 2008-02-20 by Head of Programme (or corresponding)
Owner: TKMAS
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: First-cycle

Teaching language: Swedish

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0106 Examination 5,2 c Grading: TH   5,2 c   16 Dec 2008 pm M,  15 Apr 2009 am V,  25 Aug 2009 am V
0206 Laboratory 2,3 c Grading: UG   2,3 c    

In programs



Univ lektor  Bertil Gustafsson

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

Manufacturing Technology


The aim of the course is to develop engineering students understanding of theories, methods and modern engineering tools in order to be able to develop production processes and operate complex production systems.
The course will also awaken interest in further studies in the subject field, particularly the Chalmers Master in Production Engineering.

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

Explain elementary concepts and methods concerning the structure and operation of production systems.
● Describe the most important strategies in automation, and the basics of data communications.
● Design a simple production system in graphical computer environment and execute a materials flow analysis.
● Motivate the Computer Aided Engineer potential for the modern product development process.
● Master the basic concepts of the industrial IT-environment and related problems.
● Comprehend the technology required in order to grasp the meaning of production flow.
● Understand the IT-strategy needed for systematic information recovery throughout the entire product development chain.
● Outline the role to be played by a data base in making an integrated product and production development effective, including version handling technique and the problems that are associated with the flora of different file formats, and also handling methods.
● Execute a simple line preparation with regard to sequence and balance.
● Describe the different types of sensors, know their function and application areas.
● Comprehend the principles of production control, and how to implement a simple PLC-program (PLC=Programmable Logic Controller).
● Describe applications and ancillary problems for computer models of the human body within production.
● Explain how an NC-machine works (CNC-Computer Numerical Control System) and how it is used for simple programming.
● Explain the ingredients of the CAD/CAM-chain. Describe CAM - its aim, advantages, in-parameters and the system-s output as well as subsidiary operations and the chronology in the preparatory process. (CAM=Computer Aided Manufacturing).
● Motivate the need to be able to control product performance and producer ability during the preparatory phase of the product development process.
● Outline the main principles involved when working with a virtual production cell.
● Motivate the need for flexible production.
● Describe the industrial robot-s design and control principles and the view of the importance of the world of simulation when programming robots.
● Outline the difference between data, information and knowledge, and also explain learning-s potential and limitations with regard to operator training in a virtual environment.


Production System comprehends the entire complexity of humanity, tools and machinery working together in the development and production of products. Production is the continuous adaptation of human and economic life to altered circumstances. It is the non-stop use of new theories and methods. It is the belief in the ability of human beings to improve their way of life. The course covers:
The main factors of the general production system
Factors that influence production systems
Guidelines for organising engineering workshops
The complexity of technical problems in the manufacturing system
Automation engineering basics
Data communication
Sensor technology
Industrial robots technique
Production philosophies
The concept of productivity

The course focuses on the technology connected to Computer Aided Engineering and the way it works in order to give us an understanding and affirmation of production in terms of openness to new possibilities instead of letting it being formulated by ingrained expectation. Introduced in this perspective are the following:
Virtualisation of space and time.
Different types of models
- Deterministic contra stochastic
- Dynamic contra static
- Time continuity contra time discret
- Change oriented contra event oriented.
Computer aided preparation and verification of:
- Layout
- Production flows
- Line balancing
- Producibility
- Ergonomy.
Computer aided preparation and programming of:
- PLC.
Knowledge theory and operator training in simulation world.


The course consists of lectures, practical training sessions and laboratory tests. The aim of the practical course stages is to create an understanding of and proficiency in the computer based production engineering technique.


Course - PM
○ Timetable
○ Modern Production Engineering
○ Adherent articles
○ Assignments
○ Laboratory tests PM


Completed assignments, submitted and approved laboratory exercises, also written examination.
Grade scale: Fail, 3, 4 and 5.

Page manager Published: Thu 04 Feb 2021.