LEADER 04308nam 22007215 450 001 9910403763803321 005 20251113195122.0 010 $a3-030-48602-8 024 7 $a10.1007/978-3-030-48602-0 035 $a(CKB)4100000011273721 035 $a(MiAaPQ)EBC6210997 035 $a(DE-He213)978-3-030-48602-0 035 $a(Au-PeEL)EBL6210997 035 $a(OCoLC)1158219012 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/31488 035 $a(PPN)248395300 035 $a(ODN)ODN0010068267 035 $a(oapen)doab31488 035 $a(EXLCZ)994100000011273721 100 $a20200526d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Transformation in Semiconductor Manufacturing $eProceedings of the 1st and 2nd European Advances in Digital Transformation Conference, EADTC 2018, Zittau, Germany and EADTC 2019, Milan, Italy /$fedited by Sophia Keil, Rainer Lasch, Fabian Lindner, Jacob Lohmer 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (VIII, 146 p. 64 illus., 50 illus. in color.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v670 311 08$a3-030-48601-X 327 $aA 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 . 330 $aThis open access book reports on cutting-edge electrical engineering and microelectronics solutions to foster and support digitalization in the semiconductor industry. Based on the outcomes of the European project iDev40, which were presented at the two first conference editions of the European Advances in Digital Transformation Conference (EADCT 2018 and EADTC 2019), the book covers different, multidisciplinary aspects related to digital transformation, including technological and industrial developments, as well as human factors research and applications. Topics include modeling and simulation methods in semiconductor operations, supply chain management issues, employee training methods and workplaces optimization, as well as smart software and hardware solutions for semiconductor manufacturing. By highlighting industrially relevant developments and discussing open issues related to digital transformation, the book offers a timely, practice-oriented guide to graduate students, researchers and professionals interested in the digital transformation of manufacturing domains and work environments. . 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v670 606 $aCooperating objects (Computer systems) 606 $aIndustrial management 606 $aIndustrial engineering 606 $aAutomation 606 $aCyber-Physical Systems 606 $aIndustrial Management 606 $aIndustrial Automation 615 0$aCooperating objects (Computer systems) 615 0$aIndustrial management. 615 0$aIndustrial engineering. 615 0$aAutomation. 615 14$aCyber-Physical Systems. 615 24$aIndustrial Management. 615 24$aIndustrial Automation. 676 $a621.38 676 $a621.38 686 $aTEC000000$aTEC007000$aTEC037000$2bisacsh 700 $aKeil$b Sophia$4edt$01355049 702 $aKeil$b Sophia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLasch$b Rainer$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLindner$b Fabian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLohmer$b Jacob$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910403763803321 996 $aDigital Transformation in Semiconductor Manufacturing$93359085 997 $aUNINA