Manufacturers gear up for the digital revolutionAndrei Lobov took up an appointment as Associate Professor (tenure track) in the Laboratory of Mechanical Engineering and Industrial Systems at Tampere University of Technology (TUT) in January 2018. His area of expertise is digital manufacturing.
Andrei Lobov’s current position at TUT is based in the University Consortium of Seinäjoki, where he is setting up a research group in digital manufacturing.
Andrei Lobov, Associate Professor (tenure track)
Born in Tallinn, Estonia in 1979.
- Bachelor of Science in Computer and Systems Engineering, Tallinn University of Technology, 2001. Master of Science in Automation Engineering, Tampere University of Technology, 2004.Doctor of Science, Tampere University of Technology, 2009.
Career and academic life
- Joined TUT as a summer trainee in 2000 and has worked as a research assistant, researcher, lecturer and university lecturer before his appointment as Associate Professor.
- Co-author of the book “Open knowledge-driven manufacturing & logistics : the eScop approach” that explores the vision of our knowledge-driven future.
- TUT representative at the Advisory Committee of World Wide Web Consortium (W3C).
- Chair at the community group at W3C for the Open Knowledge-driven Service-oriented System architectures and APIs (KiSS).
Member of the Council of non-profit organization “Russian School of Estonia”.
Family: wife, son and two cats.
Hobbies: running and skiing.
Lobov’s research promotes the digital transformation of the manufacturing industry, which is driven forward, among others, by the Industrial Internet of Things. The ultimate goal is to develop production systems that are highly reconfigurable and adaptive. While there are already some standards available, their large-scale application is still to come.
“We’ve made some progress since Henry Ford made the ‘any colour so long as it is black’ comment in the early 1900s, but we still tend to approach product variability by enumerating possible choices. If we used to have only one colour, we may now have 16,” Lobov describes.
Will we ever be able or even want to develop a production system where we do not know exactly what comes out of it?
“Imagine a manufacturing plant that produces items in response to the specific needs of individual customers. The plant owner might not even know or fully understand what his machines are working on. As a researcher, I continue digging for the pieces required to build such a production system.”