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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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書(shū)目名稱(chēng)Digital Transformation in Semiconductor Manufacturing
副標(biāo)題Proceedings of the 1
編輯Sophia Keil,Rainer Lasch,Jacob Lohmer
視頻videohttp://file.papertrans.cn/280/279829/279829.mp4
概述Presents cutting-edge solutions for digital transformation in the semiconductor industry.Covers digitalization of manufacturing processes and workplaces.Offers a good balance of technological research
叢書(shū)名稱(chēng)Lecture Notes in Electrical Engineering
圖書(shū)封面Titlebook: Digital Transformation in Semiconductor Manufacturing; Proceedings of the 1 Sophia Keil,Rainer Lasch,Jacob Lohmer Conference proceedings‘‘‘
描述This open access book reports on cutting-edge electrical engineering and microelectronics solutions to foster and support digitalization in the semiconductor industry. Based on the outcomes of the European project iDev40, which were presented at the two first conference editions of the .European Advances in Digital Transformation. .Conference. (EADCT 2018 and EADTC 2019), the book covers different, multidisciplinary aspects related to digital transformation, including technological and industrial developments, as well as human factors research and applications. Topics include modeling and simulation methods in semiconductor operations, supply chain management issues, employee training methods and workplaces optimization, as well as smart software and hardware solutions for semiconductor manufacturing. By highlighting industrially relevant developments and discussing open issues related to digital transformation, the book offers a timely, practice-oriented guide to graduate students, researchers and professionals interested in the digital transformation of manufacturing domains and work environments.?.
出版日期Conference proceedings‘‘‘‘‘‘‘‘ 2020
關(guān)鍵詞Open Access; Semantic Web Technologies; Simulation-based Decision Making; Cycle Time Modeling; Automated
版次1
doihttps://doi.org/10.1007/978-3-030-48602-0
isbn_softcover978-3-030-48604-4
isbn_ebook978-3-030-48602-0Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s) 2020
The information of publication is updating

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Framework for Simulation-Based Decision Making in Semiconductor Value Chainsng an understanding of the capabilities of simulation to support various planning and control functions in semiconductor value chains. This research effort is challenging since it requires knowledge of the different planning and control functions and the related decision-making approaches. It seems
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Enhancing Prediction Quality of Fab Simulation by Advanced Cycle Time Modellingabs and testing different scenarios for machine distribution with a constantly changing product mix. This paper discusses the importance of transportation and handling times within these simulations. Up to now, respective transportation and handling times are only considered marginally, oversimplifi
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Visualization of Automated Material Handling System Components in Semiconductor Industry over the Li Material Handling System (AMHS) have access to extensive data from the real system and additional data sources like material flow simulation studies. Until now, these data have mainly been evaluated statically in the form of predefined diagrams and reports. The aim of this article is to present a c
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