Abstract
Digital Shadows can support stakeholders in production control by providing context-aware and aggregated information serving a specific task and thus supporting in the decision-making. In this paper, we propose a methodology for building Digital Shadows with focus on production control. We identify the building blocks for defining Digital Shadows consisting of purpose, models and data. Furthermore, we suggest an implementation for the methodology as a decision support tool for the stakeholders in production control. Finally, we illustrate the use of our methodology on the basis of a exemplary use-case of production control.
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References
Riesener, M., Schuh, G., Dölle, C., Tönnes, C.: The digital shadow as enabler for data analytics in product life cycle managemen. Procedia CIRP 26, 729–734 (2019)
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94(9–12), 3563–3576 (2018)
Schuh, G., et al.: Effizientere produktion mit digitalen schatten. Zeitschrift für wirtschaftlichen Fabrikbetrieb 115(s1), 105–107 (2020)
Schuh, G., Gützlaff, A., Sauermann, F., Maibaum, J.: Digital shadows as an enabler for the internet of production. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) APMS 2020. IAICT, vol. 591, pp. 179–186. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57993-7_21
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)
Schuh, G., Stich, V.: Produktionsplanung und-steuerung 1: Grundlagen der PPS. Springer, Berlin, Heidelberg (2012). 4, überarbeitete auflage ed
Steinlein, F., Liu, Y., Stich, V.: Development of a decision support app for short term production control to improve the adherence to delivery dates. In: Nyhuis, P., Herberger, D., Hübner, M. (eds.), Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020) (Hannover), pp. 438–447, Institutionelles Repositorium der Leibniz Universität Hannover, Hannover (2020)
Scherwitz, P., et al.: Digitale transformation in der produktioinsplanung und -steuerung: Ergebnisse einer gemeinsamen studie der produktionstechnischen institute fraunhofer igcv, ifa, ipmt und wzl. Zeitschrift für wirtschaftlichen Fabrikbetrieb ZWF 115(4), 252–256 (2020)
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)
Becker, F., et al.: A conceptual model for digital shadows in industry and its application. In: Ghose, A., Horkoff, J., Silva Souza, V.E., Parsons, J., Evermann, J. (eds.) ER 2021. LNCS, vol. 13011, pp. 271–281. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-89022-3_22
Bibow, P., et al.: Model-driven development of a digital twin for injection molding. In: Dustdar, S., Yu, E., Salinesi, C., Rieu, D., Pant, V. (eds.) CAiSE 2020. LNCS, vol. 12127, pp. 85–100. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49435-3_6
Brecher, C., Buchsbaum, M., Storms, S.: Control from the cloud: edge computing, services and digital shadow for automation technologies. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 9327–9333. IEEE (2019)
Qi, Q., Tao, F.: Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access 6, 3585–3593 (2018)
Bauernhansl, T., Hartleif, S., Felix, T.: The digital shadow of production-a concept for the effective and efficient information supply in dynamic industrial environments. Procedia CIRP 72, 69–74 (2018)
Pause, D., et al.: Task-specific decision support systems in multi-level production systems based on the digital shadow. In: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS), pp. 603–608. IEEE (2019)
Riesener, M., Dölle, C., Schuh, G., Tönnes, C.: Framework for defining information quality based on data attributes within the digital shadow using LDA. Procedia CIRP 83, 304–310 (2019)
Schuh, G., Gützlaff, A., Schmidhuber, M., Maibaum, J.: Development of digital shadows for production control (2021). ESSN: 2701-6277
Schuh, G., Dölle, C., Tönnes, C.: Methodology for the derivation of a digital shadow for engineering management. In: 2018 IEEE Technology and Engineering Management Conference (TEMSCON), pp. 1–6. IEEE (2018)
Stecken, J., Ebel, M., Bartelt, M., Poeppelbuss, J., Kuhlenkötter, B.: Digital shadow platform as an innovative business model. Procedia CIRP 83, 204–209 (2019)
Parott, A., Warshaw, L.: Industry 4.0 and the digital twin: manufacturing meets its match, Retrieved January, vol. 23, p. 2019 (2017)
Kubenke, J., Roh, P., Kunz, A.: Assessing the efficiency of information retrieval from the digital shadow at the shop floor using it assistive systems. Mechatronics, pp. 202–209 (2018)
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Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC-2023 Internet of Production - 390621612.
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Schuh, G., Gützlaff, A., Fulterer, J., Hermann, A. (2022). Building Digital Shadows for Production Control. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 663. Springer, Cham. https://doi.org/10.1007/978-3-031-16407-1_14
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DOI: https://doi.org/10.1007/978-3-031-16407-1_14
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