VB8005 - Digital twin for sustainable manufacturing


Examination arrangement

Examination arrangement: Term paper
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Term paper 100/100 1 semesters

Course content

Course content

- The concept of modelling and virtual representations of physical worlds

- Understanding of the concept of Digital Twin for manufacturing

- Measurement and data generation

- Predictive maintenance with Digital Twin

- Tools for data exploration, analysis and visualisation

- Characteristics of the physical system to implement digital twin

- Enablers for implementation of Cyber-Physical systems in manufacturing

- Use of digital twin for implementation of sustainable manufacturing principles

- Introduction to Digital communication and Internet of Things and its relation to digital twins

- Tutorials on Learning Factory Cyber-Physical System

Learning outcome

After completing the course, the student is supposed to:


- General understanding of digital twin concept and its applications in manufacturing

- Advanced knowledge of analytical tools in the context of sustainable manufacturing

- Knowledge of the implementation processes for Digital twin system

- Understanding of the structure of Cyber-Physical systems in sustainable Manufacturing


- Training on digital twin software CIRUS.

- Using of digital twin for predictive maintenance and other aspects of manufacturing systems

- Ability to measure and create sustainable development indicators in the context of Cyber-Physical systems

- Ability to think critically when interpreting simulation data from the digital twin

General competence:

- Be able to convert data into information that gives value in decision-making in the manufacturing process and management

- Have a holistic understanding of the life cycle of data.

- Have a critical and analytical approach to sustainability assessment and decision making for sustainable development solutions in Cyber-Physical systems.

Learning methods and activities

Teaching Methods: •

- Seminars in the from of Flipped classroom

- Group work •

- Laboratory exercises in the Learning Factory

The seminars in the course will be given on campus. Videos that sum up the main issues in the lecture will also be available on internet through the learning management system.

Tutoring is given at campus and online in accordance to announced times.

Further on evaluation

- The course will be graded based on a term paper written by each individual student. - Re-sit: Whole course must be re-taken.

Required previous knowledge

Basic Knowledge on manufacturing processes

Course materials

- Scientific articles, hand-outs and online resources/materials provided by lecturers.

- Industry cases

- Some material must be read before attending the course

More on the course



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


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Manufacturing Systems
  • Safety, Reliability and Maintenance
  • Analysis
  • Production and Quality Engineering
  • Production and Quality Engineering - Information Technology
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Manufacturing and Civil Engineering


Examination arrangement: Term paper

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Term paper 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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