Continuously developing competencies to meet future demands is one of modern industry’s biggest challenges. Sandvik is participating in a pilot project called “Engineer 4.0” together with other companies, such as Volvo, SKF and Veoneer. The goal? To gain the necessary knowledge to drive and thrive in the digital revolution, also known as Industry 4.0.
IT-based technologies have changed the manufacturing industry profoundly, and to stay competitive companies need to increase their expertise in digitalization and smart production. To meet this new demand, thirteen Swedish universities and colleges have developed eight training modules that include topics such as additive manufacturing, cyber physical systems, digital twins, human robot collaboration, connectivity and 5G.
When we saw the need to also address industrial companies, we realized we had to adapt the training to their requirements.
“Our curriculum needs to adapt to the changing conditions,” says Bengt-Göran Rosén, project lead and professor at Halmstad University, Jönköping University and Chalmers University of Technology. “That’s why we’ve developed these training modules. When we saw the need to also address industrial companies, we realized we had to adapt the training to their requirements. The answer was a digital version that users can take when they have the time.”
The target group for the training modules are people with a technical background, and each module will take two to three days to complete, ending with a quiz. The pilot will run during summer of 2020 and after evaluation, eight new modules will be introduced, including some that are more in-depth.
Six Sandvik employees from different business areas will participate in the pilot.
“The content is very relevant to the work we perform at R&D in Pune, India, and it will be great to access state of the art information from experts in academia,” says Abhinandan Chiney, lead scientist working at Sandvik Materials Technology in India. “The training involves using modelling, simulation and Big Data Analytics to optimise and diagnose production processes, which fits right into what we do.”