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A Process Control Methodology Based on Digital Twins of Production System Objects

verfasst von: V. N. Shvedenko, V. V. Shvedenko, O. V. Shchekochikhin

Erschienen in: Automatic Documentation and Mathematical Linguistics | Ausgabe 5/2021

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Abstract

We propose a methodology for building digital twins for the management of production systems. The digital twin consists of invariant and variable parts. The variable part is associated with industry-specific features of the subject area. A theoretical and quantitative mathematical description of the elements of the digital twin model is proposed. On the basis of predicate calculus a mathematical model for search of a problem situation and development of management actions is proposed.

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Alam, K.M. and El Saddik, A., C2ps: A digital twin architecture reference model for the cloud-based cyber-physical systems, IEEE Access, 2017, vol. 5, pp. 2050–2062. https://doi.org/10.1109/ACCESS.2017.2657006 CrossRef

Grieves, M., Digital twin: Manufacturing excellence through virtual factory replication, A Whitepaper by Dr. Michael Grieves, 2014. http://innovate.fit.edu/plm/documents/doc_mgr/912/1411.0_Digital_Twin_White_Paper_Dr_Grieves.pdf

Negri, E., Fumagalli, L., and Macchi, M., A review of the roles of digital twin in CPS-based production systems, Procedia Manuf., 2017, vol. 11, pp. 939–948. https://doi.org/10.1016/j.promfg.2017.07.198 CrossRef

Boschert, S. and Rosen, R., Digital twin—The simulation aspect, Mechatronic Futures, Hehenberger, P. and Bradley, D., Eds., Cham: Springer, 2016, pp. 59–74. https://doi.org/10.1007/978-3-319-32156-1_5 CrossRef

Rosen, R., von Wichert, G., Lo, G., and Bettenhausen, K.D., About the importance of autonomy and digital twins for the future of manufacturing, IFAC-PapersOnLine, 2015, vol. 48, no. 3, pp. 567–572. https://doi.org/10.1016/j.ifacol.2015.06.141 CrossRef

Schluse, M. and Rossmann, J., From simulation to experimentable digital twins: Simulation-based development and operation of complex technical systems, in IEEE Int. Symp. on Systems Engineering (ISSE), Edinburgh, 2016 (IEEE, 2016), pp. 1–6. https://doi.org/10.1109/SysEng.2016.7753162

Kraft, E.M., The air force digital thread/digital twin - Life cycle integration and use of computational and experimental knowledge, in 54th AIAA Aerospace Sciences Meeting. https://doi.org/10.2514/6.2016-0897

Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., and Barbaray, R., The industrial management of smes in the era of industry 4.0, Int. J. Prod. Res., 2018, vol. 56, no. 3, pp. 1118–1136. https://doi.org/10.1080/00207543.2017.1372647 CrossRef

Qi, Q., Tao, F., Zuo, Y., and Zhao, D., Digital twin service towards smart manufacturing, Procedia CIRP, 2018, vol. 72, pp. 237–242. https://doi.org/10.1016/j.procir.2018.03.103 CrossRef

10.

Tao, F., Zhang, M., Cheng, J. Qi, Q., Digital twin workshop: A new paradigm for future workshop, Comput. Integr. Manuf. Syst., 2017, vol. 23, no. 1, pp. 1–9.

11.

Knapp, G.L., Mukherjee, T., Zuback, J.S., Wei, H.L., Palmer, T.A., De, A., and DeBroy, T., Building blocks for a digital twin of additive manufacturing, Acta Mater., 2017, vol. 135, pp. 390–399. https://doi.org/10.1016/j.actamat.2017.06.039 CrossRef

12.

Wang, X.V. and Wang, L., Digital twin-based weee recycling, recovery and remanufacturing in the background of industry 4.0, Int. J. Prod. Res., 2018, vol. 57, no. 12, pp. 3892–3902. https://doi.org/10.1080/00207543.2018.1497819 CrossRef

13.

Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., and Nee, A.Y.C., Digital twin-driven product design framework, Int. J. Prod. Res., 2018, vol. 56, no. 5, pp. 1934–1959. https://doi.org/10.1080/00207543.2017.1394587 CrossRef

14.

Brenner, B. and Hummel, V., Digital twin as enabler for an innovative digital shopfloor management system in the ESB Logistics Learning Factory at Reutlingen - University, Procedia Manuf., 2017, vol. 9, pp. 198–205. https://doi.org/10.1016/j.promfg.2017.04.039 CrossRef

15.

Yang, X., Malak, R.C., Lauer, C., Weidig, C., Hagen, H., Hamann, B., Aurich, J.C., and Kreylos, O., Manufacturing system design with virtual factory tools, Int. J. Comput. Integr. Manuf., 2015, vol. 28, no. 1, pp. 25–40. https://doi.org/10.1080/0951192X.2013.800948 CrossRef

16.

Shvedenko, V.N., Shchekochikhin, O.V., and Cherkasova, N.V., Search for the architectural solution of information software of the digital twins of the complex system, Nauchn.-Tekhn. Inform., Ser. 2. Protsessy Sist., 2020, no. 4, pp. 18–21. https://doi.org/10.36535/0548-0027-2020-04-3

17.

Timofeev, D.N. and Shvedenko, V.V., The method of constructing the metric system of monitoring and control interacting technical, economic and organizational subsystem, Instrum. Syst.: Monit., Control Diagn., 2017, vol. 12, pp. 53–71.

18.

Garrigue, J., A certified implementation of ML with structural polymorphism, Programming Languages and Systems, Ueda, K., Ed., Lecture Notes in Computer Science, vol. 6461, Berlin: Springer, 2010, pp. 360–375. https://doi.org/10.1007/978-3-642-17164-2_25 CrossRef

19.

Garrigue, J., Simple type inference for structural polymorphism, in The Ninth Int. Workshop on Foundations of Object-Oriented Languages, Portland, Oregon, 2002.

20.

Gesbert, N., Genevès, P., and Layaïda, N., Parametric polymorphism and semantic subtyping: the logical connection, ACM SIGPLAN Not., 2011, vol. 46, no. 9, pp. 107–116. https://doi.org/10.1145/2034574.2034789 CrossRefMATH

21.

Huang, B., Research article: An object model with parametric polymorphism for dynamic segmentation, Int. J. Geogr. Inf. Sci., 2003, vol. 17, no. 4, pp. 343–360. https://doi.org/10.1080/1365881031000072654 CrossRef

22.

Zhang, C., Zhou, G., Lu, Q., and Chang, F., Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development, Int. J. Prod. Res., 2017, vol. 55, no. 23, pp. 7187–7203. https://doi.org/10.1080/00207543.2017.1351643 CrossRef

23.

Shvedenko, V.N., Shvedenko, V.V., and Shchekochikhin, O.V., Using structural and parametric polymorphism in the creation of digital twins, Autom. Doc. Math. Linguist., 2019, vol. 53, no. 2, pp. 81–48. https://doi.org/10.3103/S0005105519020055 CrossRef

24.

Shvedenko, V.N., Shvedenko, V.V., and Shchekochikhin, O.V., Using structural polymorphism in creating process-based management information systems, Autom. Doc. Math. Linguist., 2018, vol. 52, no. 6, pp. 290–296. https://doi.org/10.3103/S0005105518060031 CrossRef

Titel: A Process Control Methodology Based on Digital Twins of Production System Objects
verfasst von: V. N. Shvedenko
V. V. Shvedenko
O. V. Shchekochikhin
Publikationsdatum: 01.09.2021
Verlag: Pleiades Publishing
Erschienen in: Automatic Documentation and Mathematical Linguistics / Ausgabe 5/2021
Print ISSN: 0005-1055
Elektronische ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105521050046

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A Process Control Methodology Based on Digital Twins of Production System Objects

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