MMA4002 - Design for Automated Manufacturing


New from the academic year 2024/2025

Examination arrangement

Examination arrangement: Portfolio
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio 100/100

Course content

The course contains a selection of the following topics:

  • Introduction to Manulab, design for manufacturing and automatic manufacturing
  • Industry 4.0 and Industry 5.0 concepts and technologies
    • Additive manufacturing
    • Industrial and collaborative robots
    • Autonomous ground vehicles (AGV)
    • Data driven models
  • Design for automatic manufacturing
    • Modelling and simulation with CAD/CAM-software
    • Modular product architectures
    • Design of products and components for automatic manufacturing and assembly, such as grippers and fixtures
    • Target costing and value engineering
  • Lean manufacturing in context of automatic manufacturing

More details about the curriculum will provided during the start of semester.

Learning outcome

Knowledge and skills

  • Explain and apply technology and methods for computer aided design (CAD) and computer assisted manufacturing (CAM).
  • Explain and apply "design for automatic manufacturing", i.e. design for robot grippers, fixtures, jigs and autonomous ground vehicles.
  • Demonstrate automatic manufacturing and assembly of products by additive manufacturing, collaborative robots, robot cells and autonomous ground vehicles.
  • Demonstrate use of Lean manufacturing for automatic manufacturing.

General competence:

  • Identify and analyze complex problems in manufacturing and maritime industry that require solutions within computer assisted manufacturing to create value.
  • Discuss cost-benefit aspects of transitioning from manual to computer assisted manufacturing.
  • Reflect on societal challenges and opportunities related to using automatic robotic solutions instead of human operators.
  • Discuss how robots and intelligent machines can be used with humans to achieve sustainability goals (Industry 5.0).

Learning methods and activities

Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Compulsory assignments

  • compulsory activities

Further on evaluation

The final grade is based on an overall evaluation of the portfolio, which consists of work that is carried out, documented, and digitally submitted during the term. The assignments may consist of the following:

  • short movie of the work
  • presentation for industrial review board
  • technical report
  • reflection and perspective note on own work

Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio.

The resit exam is an oral exam.

Note that the course also has some compulsory activities that must be approved in order for the portfolio to be assessed.

More information will be provided at the start of the course.

Specific conditions

Admission to a programme of study is required:
Mechatronics and Automation (MSMECAUT)

Required previous knowledge

The course has no prerequisites. It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

Selected papers within Industry 4.0 and Industry 5.0 technology

Selected papers within Design for automatic Manufacturing

Selected papers within Target Costing and Value Engineering

The Toyota Way Fieldbook: A Practical Guide for Implementing Toyota's 4Ps

More on the course



Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Ålesund

Subject area(s)
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Ocean Operations and Civil Engineering


Examination arrangement: Portfolio

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio 100/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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