Project information

The aim of the ProDigy project is to identify the reasons for low productivity in Satakunta. Through data-based solutions, it aims to increase productivity by focusing on the key development objectives in the marine industry using data models and solutions such as digital twins.

The macro-level objective of the project is to strengthen the smart specialisation of the Satakunta region in terms of productivity growth and competitiveness. The green transition in industry can be effectively promoted through the use of AI and data analytics in industrial value networks.

At the micro level, the project aims to support co-creation between industry and research by using research infrastructures and promoting testing and experimentation. In practice, this will include building ship data models through the use of digital twins.

The information models constructed and the digital twin solutions can also be applied in other areas, such as equipment manufacturing. It has been observed that designing and testing with digital twins can reduce the cost of the prototyping phase by up to 30-50% and reduce product design lead times by 20-30%. This method is particularly beneficial for the design and implementation of new product generations and the management of the entire product lifecycle.

The project will strengthen coordinated R&D activities based on RDI concepts of the TSE Pori unit and mechanical engineering, contributing to the sustainable competitiveness of industry in Satakunta.

Execution

The project will be implemented by the University of Turku (UTU): Turku School of Economics, Pori Unit (TSE Pori) and the Faculty of Technology, Department of Mechanical and Materials Engineering. The project duration is from 1 April 2023 to 30 June 2024. The ProDigy project (A80028) is funded by the Satakunta Regional Council through the European Regional Development Fund (ERDF) within the Innovation and Skills in Finland 2021-2027 programme. The project will promote sustainable transition and competitiveness through productivity and digitalisation.

For more information, please contact

• Päivikki Kuoppakangas, TSE Pori, paivikki.kuoppakangas@utu.fi
• Jani Heikkinen, Faculty of Technology, Dept of Mechanical and Materials Engineering, jani.heikkinen@utu.fi
• Anne Erkkilä-Välimäki, TSE Pori, anne.erkkila-valimaki@utu.fi