Process Design and Evaluation of a Digital Shadow
Typ
Examensarbete för masterexamen
Program
Production engineering (MPPEN), MSc
Publicerad
2022
Författare
Bekric, Emir
Sandström, John
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Digital shadows and Digital Twins are fundamental to the concept of Industry 4.0.
They allow for in-depth analysis of operations, which in turn leads to more stream lined businesses. In this project, a Digital Shadow will be designed and accompanied
by two different types of visualizations. The Digital Shadow will be based on a man ufacturing company, Bror Tonsjö AB, located north of Gothenburg, Sweden.
In summary, the project consisted of creating visualizations and implementing real time data. The visualizations were either designed by using 3D-models or point cloud
technology. When the visualization was completed, a server was hosted through
Python and OPC UA for the purpose of creating the variables to be used in the
Digital Shadow. The visualizations were connected to a server that hosted the
variables and controlled the behavior of the layout. Finally, feedback was gathered
through qualitative interviews to evaluate the process design and how the Digital
Shadow could be improved in relation to the predetermined research questions.
The result of this project shows that Digital Shadows hold many use cases and could
streamline many types of industries. A Digital Shadow is very versatile and could
be designed to suit everything from manufacturing industries to grocery stores. The
versatility extends into internal business sectors as well, since a Digital Shadow
could be equally useful for a manager or a logistics worker, depending on the design
and accessibility. Due to the different methods of integrating this technology, it is
possible to tailor the complexity of the Digital Shadow to suit unique situations and
find value.
Beskrivning
Ämne/nyckelord
Digital Shadow, Digital Twin, OPC UA, Industry 4.0, IoT, Visualization, Points of interest, Connectivity, Digitalization, Real-time data, Point clouds.