Abstract
Industry 4.0 is a paradigm shift in manufacturing that integrates advanced technologies, such as the Internet of Things (IoT), cloud computing and artificial intelligence, to create smart factories. Collaboration is a critical element of Industry 4.0 projects, as it involves different organisations working together to achieve a common goal. In recent years, the common goal for such projects has been the development of technology and applications that generate added value for the participating companies and can then be used in the industry. Data interoperability is essential in collaborative Industry 4.0 projects, allowing organisations to share and exchange data without errors. This article discusses the importance of data interoperability in European collaborative projects in the context of Industry 4.0, analysing its benefits, challenges, and recommendations and providing a methodology to follow.
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Acknowledgements
The research leading to these results received funding from the European Union H2020 programs with grant agreement No. 958205 “Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)”, and the Horizon Europe Framework Programme (HORIZON) with grant agreement No. 101070181 “Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0 (TALON)”.
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Mateo-Casalí, M.Á., Alarcon Valero, F., Fraile Gil, F., Poler, R. (2024). Data Interoperability in Collaborative Industry 4.0 European Projects. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_64
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