Search programme

​Use the search function to search amongst programmes at Chalmers. The study programme and the study programme syllabus relating to your studies are generally from the academic year you began your studies.

Syllabus for

Academic year
PPU161 - Production systems
Syllabus adopted 2020-02-10 by Head of Programme (or corresponding)
Owner: MPPEN
7,5 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: Second-cycle
Major subject: Automation and Mechatronics Engineering, Industrial Engineering and Management, Mechanical Engineering, Industrial Design Engineering

Teaching language: English
Application code: 34126
Open for exchange students: Yes
Only students with the course round in the programme plan

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0120 Examination 7,5 c Grading: TH   7,5 c   24 Oct 2020 pm J   07 Jan 2021 am J,  27 Aug 2021 pm J

In programs



Johan Stahre

  Go to Course Homepage


General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

Same as for the Chalmers Master's Programme in Production Engineering


Industry constantly adapts their production systems to meet new challenges. The aim of this course is enable engineers to understand, design, and improve production systems that are rapidly evolving due to digitalization.  The course constitutes an introduction to industrial and academic state-of-the art technologies, preparing students for a career in advanced production engineering.

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

LO1.- Analyze and contrast paradigms in the history of production systems and project the impact of digital technologies on the future of industrial production systems.  
LO2.- Evaluate a range of enablers and challenges that influence decision-making in a production system. 
LO3.- Compare and contrast the application of digital technologies in current production systems and recommend their implementation in the design of new ones.  
LO4.- Analyze and evaluate the role of automation in a production system considering both physical and cognitive aspects. 
LO5.- Describe how connectivity can enable an adaptive information system in a production environment. 
LO6.- Apply basic data analytics to address problems in production systems. 
LO7.- Identify and evaluate the implications of digital technologies regarding environmental and social sustainability in production systems.


The course covers the following topics: 
  • History of production systems and production paradigms 
  • The application of digital technologies in current production systems 
  • Connectivity applications in production systems.  
  • Use of data analytics for optimization of production systems. 
  • Levels of automation for a production system. 
  • Implications of digital technologies regarding sustainability.


Students will learn the course content using a problem-oriented pedagogy supported by lectures. This course includes one factory visit with associated analysis, and lab training in digital tools. The evaluation of learning outcomes will be performed using assessment tasks throughout the course such as: analysis of the factory visit, quizzes and reports related to the lab exercises, and a final exam.


Text book
Scientific papers
Lecture presentations

Examination including compulsory elements

The grading scale is: Failed, 3, 4 and 5

The final grade includes the student's performance on three assessment tasks (all tasks must be approved to pass the course):
- Final exam
- Graded report and seminar from the factory visit
- Graded reports from laboratory exercises.

Page manager Published: Mon 28 Nov 2016.