New AI-driven system can improve industry efficiency and sustainability

Together with Professor Magnus Löfstrand at Örebro University's School of Science and Technology, Rajesh Patil has developed a system called Digitalized Operation of Sustainable Production Systems (DOSPS).

The system links physical machines and robots with digital counterparts – so-called digital twins. These digital models track machine behaviour in real time and are used to test scenarios before implementing changes in the production process. At the same time, intelligent software manages scheduling, maintenance, quality control, and energy use.

Faster production – fewer defects

According to a new study to be published in a scientific journal, the researchers’ tests in robotic assembly cells show that DOSPS leads to clear improvements. Energy use was reduced by 28 per cent, cycle time per task dropped by around 24 per cent, and the number of defects decreased by more than 65 per cent. Unplanned downtime was also reduced by more than half.

Analyses also show a clear correlation between energy use and sustainability: as energy consumption decreases, overall production sustainability improves.

“Energy efficiency is the single most important factor for sustainable industrial production. By optimising energy use in real time, emissions and resource waste can be significantly reduced,” says Rajesh Patil.

Ready for large-scale implementation

The system is designed to operate in collaboration with humans. By using augmented reality, operators can monitor the production process, observe digital twins, and intervene as needed. The solution can be applied to both individual production cells and entire factories.

“Our goal is to contribute to the next generation of production systems – systems that are autonomous, robust, and environmentally responsible,” says Magnus Löfstrand.

The research group is now continuing its work by testing the system at a larger scale.