From factory layouts and energy efficiency to ergonomics and decision support, VF-KDO has explored how simulation and optimisation can help manufacturers make better-informed choices. Scania has been one of the industrial partners involved in the research. “Long before we started VF-KDO, we had already observed that industrial companies are highly interested in extracting knowledge, from their data to support better decision-making.” For Amos Ng, Professor of Automation Engin

How can humans and robots work together safely and efficiently in tomorrow’s factories? Through VF-KDO, the University of Skövde and Volvo Group have used virtual simulation and multi-objective optimisation to explore the possibilities. “Long before we started VF-KDO, we had already observed that industrial companies are highly interested in extracting knowledge, from their data to support better decision-making.” For Amos Ng, Professor of Automation Engineering at the Univer

Virtual factories can help industry test and optimise solutions before implementing them in the real world. At Skandia Elevator, research within VF-KDO has brought together production, ergonomics and automation to support better decisions. Jerry Olsson, Quality and Production Engineering Manager at Skandia Elevator. “Long before we started VF-KDO, we had already observed that industrial companies are highly interested in extracting knowledge, from their data to support better

Welcome to a day full of inspiring presentations of the absolute front-end research in Virtual Engineering.

Industrial PhD student Simon Lidberg has developed a decision support system that will help Volvo go greener.

Welcome to a day full of inspiring presentations of the absolute front-end research in Virtual Engineering.

Peter Mårdberg, Johan S. Carlson, Dan Högberg (2022). Identifying benefits of using an instruction language for virtual simulation of...

Russel Marshall, Erik Brolin, Steven Summerskill, Dan Högberg (2022). Digital Human Modelling: Inclusive Design and the Ageing...

Peter Mårdberg, Dan Högberg, Johan S. Carlson, Rikard Söderberg (2023). Towards Enhanced Functionality and Usability of Giving Manikin...

Maurice Lamb, Seunghun Lee, Erik Billing, Dan Högberg, James Yang (2022). Forward and Backward Reaching Inverse Kinematics (FABRIK)...

Erik Brolin, Niclas Delfs, Martin Rebas, Tobias Karlsson, Lars Hanson, Dan Högberg (2022). Development of body shape data based digital...

Amir Nourmohammadi, Amos H.C. Ng, Masood Fathi, Janneke Vollebregt, Lars Hanson. (2023). Multi-objective optimization of mixed-model...

Andreas Lind, Veeresh Elango, Lars Hanson, Dan Högberg, Dan Lämkull, Pär Mårtensson, Anna Syberfeldt (2023). Virtual-Simulation-Based...

Andreas Lind, Lars Hanson, Dan Högberg, Dan Lämkull, Anna Syberfeldt (2023). Extending and demonstrating an engineering communication...

Francisco Garcia Rivera, Dan Högberg, Maurice Lamb, Estela Perez Luque (2022). DHM Supported Assessment of the Effects of using an...

Marcus Frantzén, Amos H.C. Ng and Sunith Bandaru (2022). Digital-Twin-Based Decision Support of Dynamic Maintenance Task Prioritization...

Iman Morshedzadeh, Amos H.C. Ng, Manfred Jeusfeld and Jan Oscarsson (2022). Managing virtual factory artifacts in the extended product...

In a world where efficiency and sustainability are keywords for success, researchers and industrial companies work hand in hand to meet...

The industry is constantly seeking efficiency improvements for increased profitability. But how can this be done without risking people's...

Finding a solution with multiple conflicting goals is tricky. This is the process that Henrik Smedberg, a PhD student at the University...