Steel Quality Monitoring Using Data-Driven Approaches: ArcelorMittal Case Study
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10536-4_5
Reference18 articles.
1. Kagermann, H., Wahlster, W., Helbig, J.: Recommendations for implementing the strategic initiative industrie 4.0. In: Final report of the Industrie 4.0 Working Group, Federal Ministry of Education and Research, p. 84 (2013). http://forschungsunion.de/pdf/industrie_4_0_final_report.pdf
2. Khan, M., Wu, X., Xu, X., Dou, W.: Big data challenges and opportunities in the hype of industry 4.0. In: 2017 IEEE International Conference on Communications (ICC), pp. 1–6 (2017). https://doi.org/10.1109/ICC.2017.7996801
3. Lu, Y.: Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inf. Integr. 6, 1–10 (2017). https://doi.org/10.1016/j.jii.2017.04.005
4. Rossit, D.A., Tohmé, F., Frutos, M.: A data-driven scheduling approach to smart manufacturing. J. Ind. Inf. Integr. 15, 69–79 (2019). https://doi.org/10.1016/j.jii.2019.04.003
5. Melhem, M., Ananou, B., Ouladsine, M., Pinaton, J.: Regression methods for predicting the product quality in the semiconductor manufacturing process. IFAC-PapersOnLine 49(12), 83–88 (2016). 8th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2016. https://doi.org/10.1016/j.ifacol.2016.07.554
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