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Titlebook: Digital Transformation in Semiconductor Manufacturing; Proceedings of the 1 Sophia Keil,Rainer Lasch,Jacob Lohmer Conference proceedings‘‘‘

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31#
發(fā)表于 2025-3-26 22:39:09 | 只看該作者
https://doi.org/10.1007/978-1-4615-3564-5ad-scale digitalization of the entire supply chain. This incorporates benefits for fab simulation, inter-enterprise collaboration, inconsistency identification and knowledge transfer. Industry related use cases show the potential and allow an analysis of current difficulties.
32#
發(fā)表于 2025-3-27 03:55:31 | 只看該作者
33#
發(fā)表于 2025-3-27 06:28:54 | 只看該作者
34#
發(fā)表于 2025-3-27 11:14:37 | 只看該作者
Visualization of Automated Material Handling System Components in Semiconductor Industry over the Lioncept that allows interactive data visualization of semiconductor transport systems from planning up to their operational phase. Thereby the application of approaches from the field of Visual Analytics is of special interest. A high potential for a better understanding of the highly complex AMHS is seen here.
35#
發(fā)表于 2025-3-27 17:35:59 | 只看該作者
36#
發(fā)表于 2025-3-27 18:04:07 | 只看該作者
Digital Twin for Plan and Make Using Semantic Web Technologies – Extending the JESSI/SEMATECH MIMAC ad-scale digitalization of the entire supply chain. This incorporates benefits for fab simulation, inter-enterprise collaboration, inconsistency identification and knowledge transfer. Industry related use cases show the potential and allow an analysis of current difficulties.
37#
發(fā)表于 2025-3-28 01:54:20 | 只看該作者
38#
發(fā)表于 2025-3-28 03:23:19 | 只看該作者
39#
發(fā)表于 2025-3-28 08:29:27 | 只看該作者
On the enumeration of dyadic distributionsoncept that allows interactive data visualization of semiconductor transport systems from planning up to their operational phase. Thereby the application of approaches from the field of Visual Analytics is of special interest. A high potential for a better understanding of the highly complex AMHS is seen here.
40#
發(fā)表于 2025-3-28 13:48:39 | 只看該作者
https://doi.org/10.1007/978-1-4613-9323-8 costs are reached. The purpose of this study is to explore the impact of return on quality in manufacturing systems. Therefore, multimethod simulation modelling including discrete-event and system dynamics simulation is applied.
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