Abstract
Industrie 4.0 defines a new level of organization and management in the entire value chain for the product lifecycle. The basic technologies include cyber-physical systems, embedded systems and Internet technologies. The reflected benefits are more communicable, flexible, and networkable products and production environments. The purpose of the paper is to present holistic scenarios by using platform technologies. The combination of defining scenarios by using data flow diagram with business process modeling notation is used to establish Human-Machine-Collaboration for small batch-sized production. Cornerstones of this approach are boundary-crossing models in the distributed Industrie 4.0 infrastructure from product development into the production environment.
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Kagermann, H., Anderl, R., Wahlster, W., Gausemeier, J., Schuh, G.: Industrie 4.0 in a Global Context. Strategies for Cooperating with International Partners. Acatech, Berlin (2016)
ten Hompel, M., Büchter, H., Franzke, U.: Identifikationssysteme und Automatisierung. VDI-Buch. Springer, Berlin/Heidelberg (2008)
BMBF: Zukunftsbild “Industrie 4.0”. Bundesministerium für Bildung und Forschung (2013). https://www.bmbf.de/pub/Zukunftsbild_Industrie_4.0.pdf. Accessed 02 Feb 2018
BSI: ICS-Security-Kompendium. Bundesamt für Sicherheit in der Informationstechnik (2013). https://www.bsi.bund.de/DE/Themen/Industrie_KRITIS/Empfehlungen/ICS/empfehlungen_node.html. Accessed 20 Feb 2018
Zentrum für Europäische Wirtschaftsforschung - ZEW: IKT-Report (2015). http://www.zew.de/fileadmin/FTP/div/IKTRep/IKT_Report_2015.pdf. Accessed 05 Jan 2018
Wang, Y., Wang, G., Anderl, R.: Generic procedure model to introduce Industrie 4.0 in small and medium-sized enterprises. In: Proceedings of the World Congress on Engineering and Computer Science, San Francisco (2016). http://www.iaeng.org/publication/WCECS2016/WCECS2016_pp971-976.pdf. Accessed 04 Feb 2018
Anderl, R., Picard, A., Wang, Y., Fleischer, J., Dosch, S., Klee, B., Bauer, J.: Guideline Industrie 4.0 - Guiding Principles for the Implementation of Industrie 4.0 in Small and Medium Sized Businesses. VDMA, Frankfurt (2015)
Anderl, R.: Industrie 4.0–technological approaches, use cases, and implementation. at-Automatisierungstechnik 63(10), 753–765 (2015)
Anderl, R.: Industrie 4.0 - advanced engineering of smart products and smart production. In: 19th International Seminar on High Technology, Technological Innovations in the Product Development, Piracicaba, Brazil (2014)
Bauernhansl, T., Krüger, J., Reinhart, G., Schuh, G.: WGP-Standpunkt Industrie 4.0. Wissenschaftliche gesellschaft für produktionstechnik WGP e.V. (2016). http://www.wgp.de/uploads/media/WGP-Standpunkt_Industrie_4-0.pdf. Accessed 18 Feb 2018
Grieves, M.W.: Digital Twin: Manufacturing Excellence Through Virtual Factory Replication. A Whitepaper by Dr. Michael Grieves. Florida Institute of Technology (2014). http://innovate.fit.edu/plm/documents/doc_mgr/912/1411.0_Digital_Twin_White_Paper_Dr_Grieves.pdf. Accessed 18 Nov 2017
Ward, P.T.: The transformation schema. An extension of the data flow diagram to represent control and timing. IEEE Tran. Softw. Eng. SE-12(2), 198–210 (1986)
Chen, Y., Li, Q.: Modeling and Analysis of Enterprise and Information Systems. From Requirements to Realization, vol. XVIII, p. 397 ff. Higher Education Press und Springer, Beijing (2009)
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Wang, Y., Dittmann, M., Anderl, R. (2019). Holistic Scenarios by Using Platform Technologies for Small Batch-Sized Production. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_30
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DOI: https://doi.org/10.1007/978-3-319-94866-9_30
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