The Digital Twin Theory - A New View on a Buzzword

JournalIndustrie 4.0 Management
Issue Volume 35, 2019, Edition 1, Pages 27-30
Open Accesshttps://doi.org/10.30844/I40M_19-1_S27-30
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Abstract

The digital twin is supposed to be a major tool for increasing productivity in the age of industrial digitalization. However, there are many heterogeneous definitions about the digital twin. This situation hardly supports the practical digital twin implementation. For this reason, the article introduces a new concept, called the Digital Twin Theory which is a theoretical framework containing several hypotheses about digital twins. The aim of the framework is a better understanding about the digital twin management in practice.

Keywords


Bibliography

[1] Bauer, W.; Ganschar, O.: Industrie 4.0 – Volkswirtschaftliches Potenzial für Deutschland, BITKOM-Studie, 2014.
[2] SAP Predictive Maintenance and Service, URL: www.sap.com/products/predictive-maintenance.html, Abrufdatum 20.09.2018.
[3] Siemens provides online condition monitoring for predictive maintenance for NASA at the Armstrong Flight Center, https://news.usa.siemens.biz/press-release/condition-monitoring/siemens-provides-online-condition-monitoring-predictive-maintenance, Abrufdatum 20.09.2018.
[4] Jasperneite, J.; Niggemann, O.: Industrie 4.0-Kommunikation auf Basis von OPC UA – Leitfaden für die Einführung in den Mittelstand. Berlin Heidelberg 2017.
[5] DIN SPEC 91345: Referenzarchitekturmodell Industrie 4.0 (RAMI4.0), Deutsches Institut für Normung (DIN) e.V., 2016.
[6] Wagner, C.; Grothoff, J.; Epple, U.; Drath, R., Somayeh, M.; Grüner, S.; Hoffmeister, M.; Zimermann,P.: The role of the Industry 4.0 asset administration shell and the digital twin during the life cycle of a plant, IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2017.
[7] AlixPartners Industriegüterstudie 2018, URL: www.ots.at/presseaussendung/OTS_20180605_OTS0071/ alixpartners-industriegueterstudie-2018, Abrufdatum 20.09.2018.
[8] Shafto, M.; Conroy, M.; Doyle, R.; Glaessgen, E.; Kemp, C.; LeMoigne, J.; Wang, L.: Draft modeling, simulation, information technology & processing roadmap, Technology Area (11), 2010.
[9] Grieve, M.: Virtually perfect: Driving Innovative and Lean Products through Product Lifecycle Management. Cocoa Beach, USA 2011.
[10] Siemens AG, Division Digital Factory: Advance Digital Enterprise – auf dem Weg zu Industrie 4.0, URL: www.siemens.com/content/dam/internet/siemens-com/customer-magazine/old-mamassets/print-archiv/advance/adv152-de-screen.pdf, Abrufdatum 20.09.2018.
[11] Kuhn, T.: Digitaler Zwilling. Informatik Spektrum 40 (2017) 5, S. 440-444.
[12] Datta, S.P.A.: Emergence of Digital Twins. Computing Research Repository (CoRR) abs/1610.06467, 2016.
[13] Grösser, S.: Digitaler Zwilling, URL: wirtschaftslexikon.gabler.de/definition/digitaler-zwilling-54371/version-189152, Abrufdatum 20.09.2018.
[14] Boschert, S.; Rosen, R.: Digital Twin – The Simulation Aspect. In: Challenges and Solutions for Mechatronic Systems and their Designers. Basel 2016.
[15] Buchholz, B.; Ferdinand, J.- P.; Gieschen, J.-H.; Seidel, U.: Digitalisierung industrieller Wertschöpfung – Transformationsansätze für KMU: Eine Studie im Rahmen der Begleitforschung zum Technologieprogramm AUTONOMIK für Industrie 4.0 des Bundesministeriums für Wirtschaft und Energie, 2017.
[16] VDI/VDE-GMA Fachausschuss 7.21., URL: i40.iosb.fraunhofer.de/Digitaler%20Zwilling, Abrufdatum 20.09.2018.
[17] Petersen, K.; Feldt, R.; Mujtaba, S.; Mattson, M.: Systematic Mapping Studies in Software Engineering. In: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering. 2008, S. 68-77.
[18] Ríos, J.; Hernández, J. C.; Oliva, M.; Mas, F.: Product Avatar as Digital Counterpart of a Physical Individual Product: Litera- ture Review and Implications in an Aircraft, International Conference on Concurrent Engineering. 2015, S. 657-666.
[19] OWL Maschinebau: Fachforum Digitalisierung konkret, URL: https://www.owl-ma-schinenbau.de/asset/media/ Einladungen/Einladung_Agenda_Forum_Digitalisie- rung%20konkret.pdf, Abrufdatum 20.11.2018.
[20] PLM Europe 2018, URL: https://www.plm-europe. org/agendapresenterinfo/agenda.html, Abrufdatum 20.11.2018.
[21] it‘s OWL. URL: www.its-owl.de, Abrufdatum 20.11.2018.

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