Magnus Holm
Senior Lecturer in Automation Engineering
School of Engineering Science
Room PA210E
I have been working at the University of Skövde since 2006. Before that I worked at Siemens Building Technology for 9 years. Among other things I work at ASSAR Industrial Innovation Arena and enjoy collaboration with industry in both research and education.
I finalised my PhD at DeMontfort University in England in January 2017. In my research I focus on decision support for shop-floor operators and virtual commisioning with an emphasis on knowledge transfer and collaboration with industrial research partners.
Education
Course Coordinator
Research
Publications
Projects
2024
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240192
Procedia CIRP
2024. Article.
https://doi.org/10.1016/j.procir.2024.08.328
Procedia CIRP
2024. Article.
https://doi.org/10.1016/j.procir.2024.08.323
Procedia CIRP
2024. Article.
https://doi.org/10.1016/j.procir.2024.08.324
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240204
2023
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).
Bidrag från den 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar
2023. Conference paper.
Augmented, Virtual and Mixed Reality Simulation: Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Hawaii, USA, 4-6 December, 2023
2023. Conference paper.
https://doi.org/10.54941/ahfe1004436
2022
2021
2020
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Ongoing projects
LITMUS: Enabling the Transition from Industry 4.0 to Industry 5.0
In the LITMUS project, researchers are exploring how companies can transition from today’s Industry 4.0 to the new Industry 5.0 by smartly utilizing their existing technologies. The goal is to combine efficient production with improved economic, social, and environmental sustainability.
September 2024 - August 2028 Virtual EngineeringVirtual Factories of the Future
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 EngineeringShiftLabs - Services for Digital Transformation
ShiftLabs supports small and medium-sized manufacturing companies in adopting new digital technologies. The initiative aims to strengthen Swedish manufacturing by pooling resources and expertise within regional technology centres to enhance and expand services for the manufacturing industry.
January 2023 - December 2025 Virtual EngineeringFinished projects
Digitalized and optimized production planning for energy-efficient production
Optimal production planning is one of the most time-consuming and challenging tasks for many production experts, especially in diverse manufacturing environments where humans, robots, and machines work independently or collaboratively. Therefore, in this Industry 4.0 era, it is crucial to equip manufacturers with a digital decision support tool to plan their production efficiently. This project aims to develop an optimization tool to assist production planners in determining the optimal production sequence and assigning tasks and resources to workstations.
May 2022 - April 2025 Virtual EngineeringIntegrating a simulated twin
With 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 Engineering