Kari Naakka

Papers

Total Citations

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About

Kari Naakka is a researcher focused on bridging the gap between Industry 4.0 technologies and the practical needs of manufacturing Small and Medium Enterprises (SMEs). His primary research areas include industrial data pipelines, data-driven manufacturing processes, and the visualization of complex system data models. Naakka’s major contributions center on making advanced digital tools accessible to SMEs, particularly those relying on legacy machinery. In his 2023 work on industrial data pipelines (6 citations), he addresses the critical challenge of integrating physical legacy machines with the Industrial Internet of Things (IIoT), offering a framework for SMEs to adopt data-driven processes. His 2024 study on visualizing manufacturing system data models (2 citations) tackles the abstraction barrier that prevents SMEs from implementing Industry 4.0 data models, providing a case-study approach to make these models more tangible and agile. While his citation counts are modest, Naakka’s work is notable for its direct relevance to real-world industrial adoption, targeting a persistent obstacle in the digital transformation of manufacturing. His research serves as a practical guide for engineers and managers seeking to modernize production without costly overhauls.