The industrial production area is broad, multidisciplinary and encompasses many different types of issues. We have three main areas for research and education, focusing on different aspects of the manufacturing process. Each main area has research sub-themes.
Production Logistics and Management
Production Management
Addressing issues at different levels of the production organisation and decision making structure, improving preconditions for more efficient development and operations of lean and green production systems.
The research in Production Logistics concerns both the digitisation of all processes, and the need for radical transformation towards an environmentally sustainable production. Two things that will change the role of production logistics in the flows of goods and information.
The research is in the domain of integration of cutting edge IT technologies in manufacturing. We also work with the idea of the digital factory. The technical dimension is coupled with the strategic one through the concept of business models.
The strategic research in industrial dependability for operation and maintenance focuses on a wide variety of application areas, from aerospace and nuclear industries to automotive and pharmaceutical industry.
The Circular Manufacturing Systems group works on the forefront of Circular Economy and tackles important research topics such as the complex assesment of circularity, the impacts on the Sustainability Development Goals, and the requirements for effective transition enabling change.
The Manufacturing Machines and Processes group researches advanced and competitive concepts to enable the processing of new materials and innovative additive and subtractive manufacturing systems, providing industry ready solutions for a resilient and efficient production.
The Precision Engineering and Metrology team covers the whole spectrum of precision engineering from the component surface to manufacturing systems and robotics, by researching innovative manufacturing and measurement systems, applications of advanced algorithms for data-driven decision-making, and physics-based simulations.
