I am the leader of the research group Production & Automation Engineering which consists of 40+ researchers working within the area of virtual engineering. The group’s research is to a large extent applied and carried out in close cooperation with industrial partners, mainly within the manufacturing industry. The research covers various areas such as simulation, optimization, robotics, decision-support systems and AR/VR.
My own research is focused on solving complex real-world optimization problems through soft computing approaches, and on the development of IT-tools for supporting executing optimized solutions in practice. The problems my research is targeting are usually related to production or logistics and found within both the private and the public sector. I am leading several research projects and supervise several PhD students.
You can find more information about my research in my Curriculum Vitae, on my profile at ResearchGate or through my publication list below.
Production & Manufacturing Research
2024. Article.
https://doi.org/10.1080/21693277.2024.2323484
International Journal of Manufacturing Research
2023. Article. https://doi.org/10.1504/IJMR.2023.131583
International Journal of Manufacturing Research
2023. Article. https://doi.org/10.1504/IJMR.2023.129303
2023. Editor (collection).
Systems
2023. Article.
https://doi.org/10.3390/systems11080395
Procedia CIRP
2023. Article.
https://doi.org/10.1016/j.procir.2023.09.191
International Journal of Services Operations and Informatics
2023. Article.
https://doi.org/10.1504/IJSOI.2023.132345
Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17–21, 2023, Proceedings, Part I
2023. Conference paper. https://doi.org/10.1007/978-3-031-43662-8_48
SPS2022: Proceedings of the 10th Swedish Production Symposium
2022. Conference paper.
https://doi.org/10.3233/ATDE220168
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches
2022. Conference paper. https://doi.org/10.1007/978-3-030-74614-8_46
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.
October 2018 - September 2026 Virtual EngineeringTo remain competitive on the global market, industry is continuously improving economic, social and environmental performance. The REWIND project seeks to take advantage of current industrial trends in digitalisation and sustainability. Capitalising on the expertise of the academic and industrial partners, the consortium will make use of digital technologies, assessment methods, strategic planning tools and materials research to realise opportunities towards a circular economy.
March 2019 - February 2022 Virtual EngineeringProject vision is an open modular framework for efficient and interactive simulation and analysis of realistic human motions for professional applications. Within the European economy, digital modelling activities and the simulation of human motion in particular, have emerged during the last decades in various domains ranging from automotive and truck over healthcare, construction and pedestrian simulation to the gaming industry.
September 2018 - December 2021 Virtual EngineeringSince inspecting the quality of die-cast and hot-pressed metal components is mostly done manually, increased automation in this step would substantially increase the competitiveness of die-casting foundries and hot-pressed metal component manufacturers. The project therefore intends to develop, test, and evaluate vision systems for automating the quality inspection of die-cast and hot-pressed metal components.
November 2018 - November 2020 Virtual EngineeringVision systems for quality inspections in production processes have existed for a long time, but are currently used only to a limited extent and then primarily within manual assembly lines. Within the VISION project, we aim to develop a low-cost, high-performing vision system for automated quality inspections in assembly lines based on cheap hardware and state-of-the-art machine learning algorithms for real-time image processing.
April 2018 - November 2020 Virtual EngineeringWith Industry 4.0 comes a technological evolution towards cyber-physical systems and a paradigm shift from centralized to decentralized production. This paradigm shift will change production. Our goal within the TWIN project is to develop a holistic solution for integrating a simulated twin of an automation system that covers the system’s entire life cycle. Such a solution will help companies stay competitive in a global and rapidly changing market and meet the challenges accompanying the fourth industrial revolution, such as mass-customization and short product life cycles.
April 2017 - March 2020 Virtual EngineeringSIM2020 is a three-year projects aimed at building a demonstrator environment at the university. A demonstrator is a physical or virtual prototype that demonstrates the practical value of the research. The demonstrators are built for an industrial audience with the purpose to get more industrial companies interested in using the university's research. The project has a particular focus on small and medium-sized manufacturing companies.
January 2016 - December 2018 Virtual EngineeringYou2 is a three-year research project that focuses on the development of IT tools for future industrial operators. The central research questions of the project concern the collection of large amounts of data, intelligent processing of the data, automatic optimizations in real-time and user interface design for new technologies such as smart glasses. The work in the project is conducted in close collaboration with industrial partners and is characterized by prototype development aiming at the higher TRL levels.
April 2014 - September 2017 Virtual EngineeringWith today’s global and rapidly changing markets, companies face the challenge of constantly improving their logistics in order to stay competitive. The project Smart Optimization of Logistics (SOL) aims to support this activity by providing a way of performing smart optimizations resulting in reduced costs, improved effectiveness, and enhanced capabilities.
January 2011 - January 2014 Virtual Engineering