Course syllabus for Automation of production systems

The course syllabus contains changes
See changes

Course syllabus adopted 2019-02-14 by Head of Programme (or corresponding).

Overview

  • Swedish nameAutomatisering av produktionssystem
  • CodePPU235
  • Credits7.5 Credits
  • OwnerTKAUT
  • Education cycleFirst-cycle
  • Main field of studyAutomation and Mechatronics Engineering, Mechanical Engineering
  • DepartmentINDUSTRIAL AND MATERIALS SCIENCE
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 47124
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0115 Intermediate test 2 c
Grading: TH		 2 c
0215 Laboratory 1.5 c
Grading: UG		 1.5 c
0315 Project 2 c
Grading: UG		 2 c
0415 Examination 2 c
Grading: TH		 2 c
  • 03 Jun 2021 pm L
  • 10 Okt 2020 am L
  • 26 Aug 2021 pm L

In programmes

Examiner

  • Marcus Frantzén
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Eligibility

General entry requirements for bachelor's level (first 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

The same as for the programme that owns the course.
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

PPU206 - Sustainable products and production systems

Aim

The purpose of the course is to give an insight into how different choices in design and the development process create the conditions for automation in primarily the final assembly. The aim of the course is to master methods for design and strategies regarding collaborative automation, increased digitization and an efficient production system.

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

After completing the course, the student should be able to master the following two areas and its sub-areas according to the following 19 learning objectives;

Management and analysis of automation strategies
  1. Perform and know the concept and method DFA2 analysis.
  2. Perform and know the concept and method of competence matrix.
  3. Make judgments of the ethical nature regarding the choice of automation.
  4. Perform and know the concept and method DYNAMO ++.
  5. Perform and know the concept of the HTA analysis method.
  6. Explain future production system strategies for example industry 4.0.
  7. Describe the principles of an effective information system.
  8. Explain the concept of levels of automation.
  9. Explain the possibilities and limitations of the technology.
  10. Describe the basic standards in designing collaborative workplaces
  11. Describe and exemplify collaboration between a human and a robot.
  12. Plan, implement and document an automation project by working in major project organizations.
Human role in the production system
  1. Manage processes and systems with respect to human conditions and needs.
  2. Describe different roles in the production system.
  3. Explain the complexity of the workplace.
  4. Describe man as a resource in a collaborative system.
  5. Describe the man's responsibility for the use of technology in terms of economic, social and ecological aspects.
  6. Illustrate risk factors and safety requirements for a robot workplace.
  7. Illustrate techniques for increased security between robot cell and human.

Content

The course teaches a number of methods and tools. Each area contains lectures and laboratory sessions. These are then used practically in the project work.

Organisation

The course will use game-based learning where Canvas and a gaming platform will form the basis of the course, here students will interact with each other and with the examiner.

The course contains four different types of learning activities; Group exercises, individual work, lectures and practice.

The lectures will provide a good theoretical basis for the basic knowledge that is built up during the first part of the course. These skills will then be helpful in the project in the later part of the course. Some lectures will also be intended as inspiration, where the students will gain knowledge of practical experience and the latest research from, among other guest lecturers, some lectures will be like short films that will be available on the learning platform.

Group exercises
The course contains compulsory group exercises where the student, by applying the methods taught, will design a product for a more collaborative workstation with increased automation.
Examples of group exercises that will be included;

Group exercise 1: DFAA analysis
Group exercise 2: HTA analysis
Group exercise 3: Competence mapping
Group exercise 4: Information mapping
Group exercise 5: Security analysis for collaborative automation
Group exercise 6: Design of instructions for installers
Group exercise 7: Measurement and analysis of levels of automation
Group exercise 8: Measurement and analysis of CXI

Project work
In the project, a product will be improved by the methods that are taught during the course.

Game
The game provides increased understanding of the consequences of automation strategies. Reflection and examination is done by the game.

Literature

Books:
- Methods for smart automation in complex production

Films, Powerpoints and scientific articles distributed during the course.

Examination including compulsory elements

To pass the course requires:
  • Approved on compulsory group submissions.
  • Approved on mandatory quizzes
  • Approved on compulsory parts
For grades (4 and 5), the information that is handed out is required
The grade is given according to U, 3, 4 and 5.

The course syllabus contains changes

  • Changes to course rounds:
    • 2021-01-27: Examinator Examinator changed from Åsa Fasth Berglund (mi0faas) to Marcus Frantzén (marcfra) by Viceprefekt
      [Course round 1]