Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.
In order to do this, the research within this profile aims to deliver the kinds of knowledge and innovations in virtual development and optimization techniques that are crucial for designing and operating next-generation manufacturing systems. In this way, industrial enterprises can pursue development without needing to invest in unfinished solutions.
Production facility of the future
This profile conducts research into how a smart and connected factory (VF) can utilise autonomous decision-making processes to optimise operational planning, prioritisation, logistics and changeovers in the manufacturing process. The results of this research will be decision support that permits flexible and cost-effective production.
The other aspect of this research profile – knowledge-driven optimization (KDO) – works to manage the ever-shorter product life cycles in industry. This work includes data from many process and production levels. It allows the optimization of the entire production chain – unlike today, where each part of the chain is optimized separately.
Eight partner companies
Besides the University of Skövde, this research profile includes Aurobay, AB Volvo, Scania, IKEA Industry, Skandia Elevator, FlexLink, Arla Foods, and ABB. Companies today that lie the forefront of technological development, but which are also aware of the challenges of the future and the importance of further strengthening their expertise. This profile is financed by the Knowledge Foundation, the partner companies and the University.
The profile's unique combination
The range of industry solutions within this profile fall within seven different areas of research
OPT-KNOW (knowledge-driven optimisation)
INTERACT (interactive and visual analyses)
LINK (data, models and data-linked infrastructure)
FLOW (flow modelling and reconfiguration at many levels)
ROBOT (virtual robotics)
HUMAN (digital modelling of human beings)
PROCESS (virtual processes)
Together, these cover the entire production chain, generating knowledge and innovations so that Sweden’s manufacturing industry can continue to lie at the forefront.
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt et al.
Francisco Garcia Rivera, Anna Brolin, Estela Perez Luque, Dan Högberg
Advances in Simulation and Digital Human Modeling: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA
Aitor Iriondo Pascual, Dan Högberg, Anna Syberfeldt, Erik Brolin, Lars Hanson
Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 24-28, 2019, Washington D.C., USA
Oskar Ljung, Aitor Iriondo Pascual, Dan Högberg, Niclas Delfs, Tobias Forsberg, Pierre Johansson, Johanna Dahlvik, Juan Luis Jiménez Sánchez, Lars Hanson
DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 - September 2, 2020
Computer Vision, Imaging and Computer Graphics Theory and Applications: 14th International Joint Conference, VISIGRAPP 2019, Prague, Czech Republic, February 25–27, 2019, Revised Selected Papers
Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK
Lars Hanson, Dan Högberg, Johan S. Carlson, Niclas Delfs, Erik Brolin, Peter Mårdberg, Domenico Spensieri, Staffan Björkenstam, Johan Nyström, Fredrik Ore
Niklas Land, Anna Syberfeldt, Torgny Almgren, Johan Vallhagen
Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK
Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK
Wei Wang, Sunith Bandaru, Adrian Sánchez de Ocãna Torroba
Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: Volume 3: IVAPP, 58-71, 2019, Prague, Czech Republic
Aitor Iriondo Pascual, Dan Högberg, Ari Kolbeinsson, Pamela Ruiz Castro, Nafise Mahdavian, Lars Hanson
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining
Simon Lidberg, Tehseen Aslam, Leif Pehrsson, Amos H. C. Ng
Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden