IndTech Industrial Technology Graduate School

Swedish industrial production is currently undergoing a fundamental technological shift stemming from industry-wide digitalization of products, services and production processes. From a technological perspective, the core of the ongoing shift is the broad digitalization and connectiveness of industry through the development and widespread deployment of new technological areas such as artificial intelligence and Industrial Internet of Things. Although likely of a transient nature, the Covid-19 epidemy of 2020 have accelerated this shift. The term "IndTech" refers to modern digitalization solutions in industry, using core technologies from IoT, machine learning and optimization. Deployment using accessible devices (such as smartphones) while still considering past investments and experiences, industrial requirements integration with existing production systems and IT infrastructure provides fundamental challenges for the manufacturing industry of tomorrow . This distinguishes IndTech from consumer technology, and puts a strong emphasis on production and manufacturing know-how as well as industrial requirements for security and availability, while providing the simplicity and ease-of-use as is available today in the consumer market.

The deployment of such transformative industrial digital technologies in manufacturing and process industries is the core focus of the INDTECH industrial graduate school. Today, IndTech solutions marketed by international manufacturing companies based in Sweden are world-leading, and the area is therefore strategically important on a national level. Furthermore, the potential of the IndTech area is huge with productivity increases up to 30%. However, according to the World Economic Forum, at least half of all employees in industry are in need of upskilling and reskilling to be able to use the potential of digitalization, and already in 2022 it is predicted that 42% of core skills required to perform existing jobs will change. This strong need has furthermore also been expressed by the participating 14 industrial partners and have formed the core content and plan for the graduate school. In the rest of the document, we use the term INDTECH for the planned industrial graduate school.

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Facilitating β-Factor Estimation for Common Cause Failures of Safety-Related System (Sep 2024)
Sirisha Bai Govardhan Rao
17th International Conference on the Quality of Information and Communications Technology (QUATIC2024)

A Proposal for Enhancing IEC 61508 Methodology for the β-Factor Estimation (Sep 2024)
Sirisha Bai Govardhan Rao, Julieth Patricia Castellanos Ardila, Sasikumar Punnekkat
European Conference on Software Process Improvement (EuroSPI 2024)

Leveraging GANs to Generate Synthetic Log Files for Smart-Troubleshooting in Industry 4.0 (Aug 2024)
Sania Partovian, Francesco Flammini, Alessio Bucaioni

Adopting a Digital Twin Framework for Autonomous Machine Operation at Construction Sites (Oct 2023)
Philip Wickberg, Anas Fattouh, Sara Afshar, Markus Bohlin
The 7th CAA International Conference on Vehicular Control and Intelligence (CVCI 2023)

Mapping simulation optimization requirements for construction sites: A study in the heavy-duty vehicles industry (Oct 2023)
Abdulkarim Habbab, Anas Fattouh, Bobbie Frank , Koteshwar Chirumalla, Markus Bohlin
64th International Conference of Scandinavian Simulation Society (SIMS 2023)

Artificial Intelligence Techniques in System Testing (Jul 2023)
Michael Felderer , Eduard Paul Enoiu, Sahar Tahvili
Optimising the Software Development Process with Artificial Intelligence (Springer)