Abstract
The paper describes the architecture design and implementing solution for the digital twin of a shop floor transportation system embedded in the global manufacturing scheduling and control system. The products are assembled on pallets travelling on the conveyor between workstations, where assigned resources perform scheduled operations. The main functionalities of the digital twin are: mirroring the current stage of the physical pallet transportation process and the state of the physical conveyor components, predicting the values of the pallet’s transportation times along the conveyor’s segments between any two workstations, applying these values for enhanced reality-awareness of optimized product scheduling and resource allocation, and detecting anomalies in the behaviour of the conveyor equipment. Starting from a shortlist of generic scenarios, AI techniques are applied in the cloud layer of the virtual twin to optimally schedule products and early detect conveyor anomalies in the context of predictive maintenance.
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References
Hermann, M., Pentek, T., Otto, B.: Design principles for Industrie 4.0 scenarios. In: 2016 at 49th Hawaii International Conference on System Sciences (HICSS). IEEE Xplore (2016). https://doi.org/10.1109/hicss.2016.488. e-ISBN: 978-0-7695-5670-3
http://www.businessdictionary.com/definition/digitalization.html. Consulted in April 2019
Graessler, I., Poehler, A.: Intelligent control of an assembly station by integration of a digital twin for employees into the decentralized control system. Procedia Manuf. 24, 185–189 (2018). https://doi.org/10.1016/j.promfg.2018.06.041
Data-Driven Work Spaces. IoT and AI Expand the Promise of Smart Buildings, 27, September 2018. https://hbr.org/resources/pdfs/comm/microsoft/DATA.DRIVEN.Work.Spaces.pdf. Consulted in April 2019
Parrott, A., Warshaw, L.: Industry 4.0 and the Digital Twin. Manufacturing Meets its Match. A Deloitte Series on Industry 4.0, Digital Manufacturing Enterprises, and Digital Supply Networks. Deloitte University Press (2017)
Grieves, M.: Digital twin: manufacturing excellence through virtual factory replication. White paper (2014). http://www.apriso.com
Caputo, F., Greco, A., Fera, M., Macchiaroli, R.: Digital twins to enhance the integration of ergonomics in the workplace design. Int. J. Ind. Ergon. 71, 20–31 (2019). https://doi.org/10.1016/j.ergon.2019.02.001
Schleich, B., Anwer, N., Mathieu, L., Wartzack, S.: Shaping the digital twin for design and production engineering. CIRP Ann. 66(1), 141–144 (2017). https://doi.org/10.1016/j.cirp.2017.04.040
Negri, E., Fumagalli, L., Cimino, C., Macchi, M.: FMU-supported simulation for CPS digital twin. Procedia Manuf. 28, 201–206 (2019). https://doi.org/10.1016/j.promfg.2018.12.033
Yang, W., Tan, Y., Yoshida, K., Takakuwa, S.: Digital-twin simulation for a cyber-physical system in Industry 4.0. In: DAAAM International Scientific Book, Chap. 18, pp. 227–234 (2017)
Uhlemann, T., Lehmann, C., Steinhilper, R.: The digital twin: realizing the cyber-physical production system for Industry 4.0. Procedia CIRP 61, 335–340 (2017). https://doi.org/10.1016/j.procir.2016.11.152
The promise of a digital twin strategy. Best practices for designers and manufacturers of products and industrial equipment. https://info.microsoft.com/rs/157-GQE-382/images/Microsoft%27s%20Digital%20Twin%20%27How-To%27%20Whitepaper.pdf. Consulted in April 2019
Vathoopan, M., Johny, M., Zoitl, A., Knoll, A.: Modular fault ascription and corrective maintenance using a digital twin. IFAC-PapersOnLine 51(11), 1041–1046 (2018). https://doi.org/10.1016/j.ifacol.2018.08.470
Rosen, R., Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3), 567–572 (2015). https://doi.org/10.1016/j.ifacol.2015.06.141
Kritzinger, W., Karner, M., Traar, G., Henjes, J., Sihn, W.: Digital twin in manufacturing: a categorical literature review and classification. IFAC-PapersOnLine 51(11), 1016–1022 (2018)
Healthcare innovation could lead to your digital twin. https://www.digitalnewsasia.com/digital-economy/healthcare-innovation-could-lead-your-digital-twin. Consulted in April 2019
Brenner, B., Hummel, V.: Digital twin as enabler for an innovative digital shop-floor management system in the ESB Logistics Learning Factory at Reutlingen – University. Procedia Manuf. 9, 198–205 (2017)
Qia, Q., Taoa, F., Zuoa, Y., Zhaob, D.: Digital twin service towards smart manufacturing. Procedia CIRP 72, 237–242 (2018). https://doi.org/10.1016/j.procir.2018.03.103
Borangiu, T., Gilbert, P., Ivanescu, N.A., Rosu, A.: An implementing framework for holonic manufacturing control with multiple robot-vision stations. Eng. Appl. Artif. Intell. 22(4–5), 505–521 (2009)
Borangiu, T., Răileanu, S., Berger, T., Trentesaux, D.: Switching mode control strategy in manufacturing execution systems. Int. J. Prod. Res. 53(7), 1950–1963 (2015). https://doi.org/10.1080/00207543.2014.935825
Chopra, S., Meindl, P.: Supply Chain Management: Strategy, Planning, and Operation. Prentice Hall, Upper Saddle River (2007)
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Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O., Anton, F. (2020). Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_10
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DOI: https://doi.org/10.1007/978-3-030-27477-1_10
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