Abstract
Since the era of CIM (computer integrated manufacturing) in the 1980s, the complex tasks, such as factory planning, product development, production planning and -control have been strongly supported by software. These tasks are among the major application fields of the digital factory concept and its tools like simulation. Although the digital factory has never been entirely in productive environments, it experiences a renaissance through new concepts like the digital shadow or the digital twin in the context of a progressive digitization trend in production. This trend called Industrie 4.0 aims at a holistic connection of all resources including humans to achieve an autonomous self-regulating factory. Despite many existing solutions, there is no holistic planning support available – not even in SMEs (small and medium enterprises). For this reason, this paper describes a vision for holistic planning with the aid of digital factory tools and describes a new approach for an implementation process from a macroscopic perspective.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Anderl, R.: Leitfaden Industrie 4.0: Orientierungshilfe zur Einführung in den Mittelstand. VDMA-Verlag, Frankfurt am Main (2015)
VDI/VDE (GMA), Cyber-Physical Systems: Chancen und Nutzen aus Sicht der Automation: Thesen und Handlungsfelder (2013)
Bracht, U., Geckler, D., Wenzel, S.: Digitale Fabrik. Springer, Heidelberg (2018)
Kagermann, H., Wahlster, W., Helbig, J.: Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Final report of the Industrie 4.0 Working Group (2013)
Lee, E.A.: Cyber physical systems: design challenges. In: 11th IEEE ISORC, pp. 363–369 (2008)
Bauernhansl, T., Krüger, J., Reinhart, G., Schuh, G.: WGP-Standpunkt Industrie 4.0 (2016)
Hermann, M., Pentek, T., Otto, B.: Design principles for industrie 4.0 scenarios. In: 49th HICSS, pp. 3928–3937. IEEE (2016)
DIN SPEC 91345, Referenzarchitekturmodell Industrie 4.0 (RAMI 4.0) (2016)
Bischoff, J. (ed.): Erschließen der Potenziale der Anwendung von ‘Industrie 4.0’ im Mittelstand: Studie im Auftrag des Bundesministeriums für Wirtschaft und Energie (BMWi) (2015)
VDI 3633-1, Simulation of systems in materials handling, logistics and production - Fundamentals (2014)
VDI 4499-1, Digital Factory - Fundamentals (2008)
VDI 4499-2, Digital Factory - Digital Factory Operations (2011)
Schallow, J., Ludevig, J., Schmidt, M., Deuse, J., Marczinski, G.: Zukunftsperspektiven der Digitalen Fabrik: Verständnis. Umsetzungsstand und Entwicklungsmöglichkeiten der digitalen Produktionsplanung, wt Werkstattstechnik online 104, 139–144 (2014)
Hofmann, J.: Die digitale Fabrik: Auf dem Weg zur digitalen Produktion, DIN e.V. (ed.) Beuth Verlag, VDE Verlag (2017)
Westkämper, E.: Definition und Entwicklung der digitalen Produktion. In: Westkämper, E., et al. (eds.) Digitale Produktion, pp. 47–49. Springer, Heidelberg (2013)
Schleipen, M.: Adaptivität und semantische Interoperabilität von Manufacturing Execution Systemen (MES). KIT Scientific Publishing, Karlsruhe (2013)
März, L., Krug, W., Rose, O., Weigert, G.: Simulation und Optimierung in Produktion und Logistik: Praxisorientierter Leitfaden mit Fallbeispielen. Springer, Heidelberg (2011)
Boschert, S., Rosen, R.: Digital Twin-The Simulation Aspect. In: Hehenberger, P., Bradley, D. (eds.) Mechatronic Futures: Challenges and Solutions for Mechatronic Systems and their Designers, pp. 59–74. Springer International Publishing, Cham (2016)
Krückhans, B.: Methodik zur Erhöhung der Ressourceneffizienz in Cyber-Physischen Produktionssystemen (CPPS). Shaker Verlag, Aachen (2016)
Donhauser, T., Ebersbach, T., Franke, J., Schuderer, P.: Rolling-reactive Optimization of Production Processes in a Calcium Silicate Masonry Unit Plant Using Online Simulation. Procedia CIRP 72, 249–254 (2018)
Kunath, M., Winkler, H.: Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process. Procedia CIRP 72, 225–231 (2018)
Herrmann, K., Kreimeier, D. (eds.): Entscheidungsunterstützung in der Produktionsplanung und -steuerung: Kompendium zum Forschungsprojekt SOPHIE. Shaker Verlag, Aachen (2018)
VDI 4499-3, Digitale Fabrik - Datenmanagement und Systemarchitekturen, Draft (2016)
Landherr, M., Neumann, M., Volkmann, J., Constantinescu, C.: Digitale Fabrik. In: Westkämper, E., et al. (eds.) Digitale Produktion, pp. 107–131. Springer, Heidelberg (2013)
DIN ISO 16290, Raumfahrtsysteme - Definition des Technologie-Reifegrades (TRL) und der Beurteilungskriterien (ISO 16290:2013) (2016)
Puntel-Schmidt, P., Fay, A.: Levels of detail and appropriate model types for virtual commissioning in manufacturing engineering. IFAC-PapersOnLine. 48(1), 922–927 (2015)
SISO-STD-008-2010, Core Manufacturing Simulation Data - UML Model (2010)
Draht, R.: Datenaustausch in der Anlagenplanung mit AutomationML. Springer, Heidelberg (2010)
SISO-STD-008-01-2012, Core Manufacturing Simulation Data - XML Representation (2012)
Pethig, F., Schriegel, S., Maier, A., Otto, A., Windmann, S., Böttcher, B., Niggemann, O., Jasperneite, J.: Industrie-4.0-Kommunikation mit OPC UA, VDMA Verlag (2017)
Barlas, P., Heavey, C.: Towards automated simulation input data. In: Proceedings of the Operational Research Society Simulation Workshop, pp. 26–34 (2014)
Block, C., Lins, D., Kuhlenkötter, B.: Approach for a simulation-based and event-driven production planning and control in decentralized manufacturing execution systems. Procedia CIRP 72, 1351–1356 (2018)
Jung, T., Shah, P., Weyrich, M.: Dynamic co-simulation of internet-of-things components using a multi-agent-system. Procedia CIRP 72, 874–879 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Block, C., Kuhlenkötter, B. (2019). Digital Factory Implementation Approach Starting from the Macroscopic Perspective with an Example for Holistic Planning in Assembly Systems. In: Schmitt, R., Schuh, G. (eds) Advances in Production Research. WGP 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-03451-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-03451-1_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03450-4
Online ISBN: 978-3-030-03451-1
eBook Packages: EngineeringEngineering (R0)