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Springer International Publishing
Reference20 articles.
1. Bal, H.Ç., Erkan, Ç.: Industry 4.0 and competitiveness. Procedia Comput. Sci. 158, 625–631 (2019). DOI:https://doi.org/10.1016/j.procs.2019.09.096
2. Joseph, B., Hanratty, F.W.: Predictive control of quality in a batch manufacturing process using artificial neural network models. Ind. Eng. Chem. Res. 32, 1951–1961 (1993). https://doi.org/10.1021/ie00021a019
3. Schmitt, R.H., Kurzhals, R., Ellerich, M., Nilgen, G., Schlegel, P., Dietrich, E., Krauß, J., Latz, A., Gregori, J., Miller, N.: Predictive quality—Data analytics in produzierenden Unternehmen. In: Bergs, T., Brecher, C., Schmitt, R.H., Schuh, G. (eds.) Internet of Production—Turning Data into Value, pp. 226–253. Fraunhofer-Gesellschaft
4. Köksal, G., Batmaz, İ, Testik, M.C.: A review of data mining applications for quality improvement in manufacturing industry. Expert Syst. Appl. 38, 13448–13467 (2011). https://doi.org/10.1016/j.eswa.2011.04.063
5. Wang, R.Y., Strong, D.M.: Beyond accuracy: What data quality means to data consumers. J. Manag. Inf. Syst. 12, 5–33 (1996). https://doi.org/10.1080/07421222.1996.11518099