Optimal Distribution of Current Resources in a Production Environment - A Sustainable and Ethical Framework for the Digital Era

Author:

Kühnel Klaus,Au-Yong-Oliveira Manuel

Publisher

Springer International Publishing

Reference23 articles.

1. Gardner, R.M., Bieker, J., Elwell, S., Thalman, R., Rivera, E.: Solving tough semiconductor manufacturing problems using data mining. In: ASMC (Advanced Semiconductor Manufacturing Conference) Proceedings (2000)

2. Xie, Z.Q., Zhou, Y., Yang, G., Tan, G.Y., Wang, F.R.: Multi-product manufacturing process optimization control with dynamic generated collection of operation having priority [Article]. Dianji yu Kongzhi Xuebao/Electr. Mach. Control 12(6), 734–738 (2008). https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949099732&partnerID=40&md5=591078a386540bc97e24cf5d9c1ff8a8

3. Mazzola, L., Waibel, P., Kaphanke, P., Klusch, M.: Smart process optimization and adaptive execution with semantic services in cloud manufacturing. Information (Switzerland) 9(11), 279 (2018). https://doi.org/10.3390/info9110279

4. Xia, K., Sacco, C., Kirkpatrick, M., Harik, R., Bayoumi, A.M.: Virtual comissioning of manufacturing system intelligent control. In: International SAMPE Technical Conference (2019)

5. Anosike, A., Zhang, Z.: Dynamic integration of manufacturing systems’ operations using intelligent agents. In: Proceedings of the IASTED International Conference on Robotics and Applications (2004)

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