TY  - BOOK
AU  - Keil,Sophia
AU  - Lasch,Rainer
AU  - Lindner,Fabian
AU  - Lohmer,Jacob
ED  - SpringerLink (Online service)
TI  - Digital Transformation in Semiconductor Manufacturing: Proceedings of the 1st and 2nd European Advances in Digital Transformation Conference, EADTC 2018, Zittau, Germany and EADTC 2019, Milan, Italy 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9783030486020
AV  - TK7885-7895 
U1  - 621.38 23
PY  - 2020///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer engineering
KW  - Internet of things
KW  - Embedded computer systems
KW  - Engineering economics
KW  - Engineering economy
KW  - Robotics
KW  - Automation
KW  - Cyber-physical systems, IoT
KW  - Engineering Economics, Organization, Logistics, Marketing
KW  - Robotics and Automation
N1  - A holistic digital twin based on Semantic Web technologies to accelerate digitalization -- Framework for Simulation-based Decision Making in Semiconductor Value Chains -- Digital Twin for Plan and Make Using Semantic Web Technologies – Extending the JESSI/SEMATECH MIMAC Standard to the Digital Reference -- Enhancing Prediction Quality of Fab Simulation by advanced Cycle Time modelling -- Visualization of Automated Material Handling System Components in Semiconductor Industry over the Lifecycle; Open Access
N2  - 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.
UR  - https://doi.org/10.1007/978-3-030-48602-0
ER  -