Abstract
The adoption of Industry 4.0 technologies is slow and lacks homogeneity across the manufacturing landscape. Challenges arise from legacy IT systems, or a low level of digitization leading to difficult integration processes, or simply the fear of investing too much in building the necessary infrastructure versus the uncertainty of the potential benefits. The market has also become more demanding, both in terms of competition and customer requirements, so that more and more manufacturers are faced with the demand for high production flexibility, high quality, and low operating costs. This paper aims to address the implementation complexity of a cyber-physical production system for zero-defect manufacturing in dynamic, high-value, high-mix, and low-volume contexts where the level of digitalization is still low, or the IT infrastructure is rigid.
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Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 958363. This paper reflects only the author’s views, and the Commission is not responsible for any use that may be made of the information contained therein.
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Caccamo, C., Eleftheriadis, R., Magnanini, M.C., Powell, D., Odd Myklebust (2021). A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 632. Springer, Cham. https://doi.org/10.1007/978-3-030-85906-0_8
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DOI: https://doi.org/10.1007/978-3-030-85906-0_8
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