Development and deployment of services based on D-BEST methodology for robotics and production automation related pilot lines

Abstract

The aim of the paper is to summarise the industrial needs relating to the research and development, test-before-invest and life-long learning. The main focus of the research is to increase the utilisation rates of the research and education environments by developing methods to allow access to these for the industry and other stakeholders. The paper starts with the summary of the needs collected from the field. The development of the needed services follows the D-BEST methodology. The paper presents the services catalogue planning and implementation process, and shortly introduces the laboratories where the new investments relating to the services are being deployed. The aim of these services is to bring the research facilities, equipment and expertise to more approachable modules for the SMEs. © 2024 Author(s).

Keywords

Author Keywords

Not provided

Index Keywords

Author Affiliations

Tampere University, Tampere, Pirkanmaa, Finland

Tampereen Ammattikorkeakoulu, Tampere, Pirkanmaa, Finland

Funding & Acknowledgements

Grant: 337722

This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 952003, AI REGIO relating to the development of services. This research has received funding from the Finnish Academy of Science research and innovation programme under grant agreement No. 337722 relating to the collection of industrial needs.

Horizon 2020 Framework Programme, H2020

Grant: 952003

This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 952003, AI REGIO relating to the development of services. This research has received funding from the Finnish Academy of Science research and innovation programme under grant agreement No. 337722 relating to the collection of industrial needs.

Horizon 2020 Framework Programme, H2020

This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 952003, AI REGIO relating to the development of services. This research has received funding from the Finnish Academy of Science research and innovation programme under grant agreement No. 337722 relating to the collection of industrial needs.

References 10 References

1 Frank, Alejandro Germán, Industry 4.0 technologies: Implementation patterns in manufacturing companies, International Journal of Production Economics, 210, pp. 15-26, (2019)

2 Moldovan, Liviu, State-of-the-art Analysis on the Knowledge and Skills Gaps on the Topic of Industry 4.0 and the Requirements for Work-based Learning, Procedia Manufacturing, 32, pp. 294-301, (2019)

3 Tolio, Tullio A.M., Key research priorities for factories of the future-Part I: Missions, Factories of the Future: The Italian Flagship Initiative, pp. 433-474, (2019)

4 Digital Economy and Society Index Desi, (2020)

5 Vrchota, Jaroslav, Sustainability outcomes of green processes in relation to industry 4.0 in manufacturing: Systematic review, Sustainability (Switzerland), 12, 15, (2020)

6 International Journal of Entrepreneurial Knowledge, (2019)

7 Nahavandi, Saeid, Industry 5.0-a human-centric solution, Sustainability (Switzerland), 11, 16, (2019)

8 Halme, Roni Jussi, Review of vision-based safety systems for human-robot collaboration, Procedia CIRP, 72, pp. 111-116, (2018)

9 Hietanen, Antti, AR-based interaction for human-robot collaborative manufacturing, Robotics and Computer-Integrated Manufacturing, 63, (2020)

10 Väätäjä, Heli K., Creating value through user experience: A case study in the metals and engineering industry, International Journal of Technology Marketing, 9, 2, pp. 163-186, (2014)

Development and deployment of services based on D-BEST methodology for robotics and production automation related pilot lines

How to Cite