Katri Salminen

Papers

Total Citations

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About

Katri Salminen’s research centers on bridging the gap between advanced digital manufacturing and the practical realities of small and medium enterprises (SMEs). Her primary contributions lie in developing accessible data pipelines, service deployment methodologies, and visualization tools that enable SMEs to integrate legacy machinery with Industrial Internet of Things (IIoT) systems. A key achievement is her work on the D-BEST methodology, which aims to boost utilization of research and education environments for robotics and production automation through test-before-invest and lifelong learning approaches. Her most cited paper (6 citations) addresses the critical challenge of helping SMEs overcome abstract data models to adopt Industry 4.0 practices, while her case study on manufacturing system data models provides actionable insights for agile implementation. Salminen’s research is particularly impactful for its focus on democratizing industrial digitalization—making complex technologies tangible for smaller manufacturers. Her work on visualizing data models and developing service-based pilot lines has direct implications for reducing barriers to smart manufacturing adoption, positioning her as a key voice in the practical application of Industry 4.0 for resource-constrained enterprises.