​Virtual Reality technique is here combined with a 3D scanning version of a factory.

Production Systems

The division of Production Systems works with the sustainability and competitiveness of industrial production systems. The research area is system-oriented and requires knowledge about both the system as a whole and its separate components, for example humans, automation and processes. The research highlights the different stages of a production system’s life cycle, i.e. planning, design, commissioning, operation, maintenance and reuse. Methods and research findings are generic, with applications within various industries, such as automotive, aerospace, processing and mining industries.

The research is conducted by research groups in the following areas:

The area of Sustainable Production/Virtual Production Systems covers methods, tools and theoretical models for digital modeling and analysis of different types of production systems. Data collection is performed via sensors or laser scanning of factory environments. Statistical analysis and discrete, hybrid simulation is used to predict and visualize the production process and future factory environments in 3D or in “Augmented reality". A broad spectrum of sustainability parameters are simulated and visualized.

The area of Production Service and Maintenance Systems includes production system functionality and ability to consistently deliver competitive production services. ​Production systems are becoming increasingly complex and require continuous advanced maintenance. Rapid flows, robustness against interference and high security are important target values. Statistical analysis, simulation and visualization create generic methods for broad application.

The area of Human - Automation Optimization includes production system in which people and automation work together to create competitive and socially sustainable workplaces and where physical and cognitive automation is optimized. Scientists create models, methods and tools for task allocation, information flow, virtual and real interaction, situational-based learning and instructions. Examples of applications are wearable information for operators within a wide range of industries.


Head of division:
Professor Johan Stahre

Published: Wed 19 Apr 2017. Modified: Fri 01 Mar 2019