Abstract
This paper presents a timely opportunity for manufacturing researchers to ontologize a digital twin framework for manufacturing by using recently published international standards. An ISO/IEC 21838 series of standards was released recently to address ‘top-level’ ontologies. These standards have been used by industrial consortia to release standards called ‘mid-level’ ontologies. One such ‘mid-level’ ontology standards is the Industrial Ontologies Foundry (IOF) Core. Around the same time, an ISO 23247 series of standards was released to standardize a digital twin framework, specifically for the manufacturing domain. This paper proposes to apply existing top-level and mid-level ontologies to create a ‘domain-level’ ontology for a digital twin framework for manufacturing. This domain-level ontology can then be used to create a manufacturing sector-specific digital twin ontology, called the ‘application-level’ ontology. In this paper, that application-level is the biomanufacturing sector. This paper also calls for a collaborative effort to create and deploy these two bottom-level ontologies and the digital twin standards associated with them.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ISO/IEC 21838-1&2: Information technology – Top-level ontologies (TLO), Parts 1 and 2, International Organization for Standardization, Geneva, Switzerland (2021)
Drobnjakovic, M., Kulvatunyou, B., Ameri, F., Will, C., Smith, B., Jones, A.: The industrial ontologies foundry (IOF) core ontology. In: Proceedings of the FOMI 2022: 12th International Workshop on Formal Ontologies meet Industry, Tarbes, France (2022)
ISO 23247-1. ISO 23247-1 Through 4: Automation Systems and Integration - Digital Twin Framework for Manufacturing – Parts 1 Through 4, International Organization for Standardization, Geneva, Switzerland (2021)
Drobnjakovic, M., Kulvatunyou, B., Frechette, S., Srinivasan, V.: Recent developments in ontology standards and their applicability to biomanufacturing, IDETC/CIE2023-116866. In: Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Boston, MA, USA, 20–23 August 2023 (2023)
Shao, G., Frechette, S., Srinivasan, V.: An analysis of the new ISO 23247 series of standards on digital twin framework for manufacturing, MSEC 2023-101127. In: Proceedings of the ASME 2023 Manufacturing Science and Engineering Conference, New Brunswick, NJ, USA, 12–16 June 2023 (2023)
Barros, C.D., Salles, R., Ogasawara, E.S., Guizzardi, G., Porto, F.A.: Requirements for an ontology of digital twins. In: International Conference on Semantic Systems (2021)
Dai, S., Zhao, G., Yu, Y., Zheng, P., Bao, Q., Wang, W.: Ontology-based information modeling method for digital twin creation of as-fabricated machining parts. Robot. Comput.-Integr. Manuf. 72, 102173 (2021)
Singh, S., et al.: Data management for developing digital twin ontology model. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 235(14), 2323–2337 (2021)
Steinmetz, C., Rettberg, A., Ribeiro, F.G.C., Schroeder, G., Pereira, C.E.: Internet of things ontology for digital twin in cyber physical systems. In: 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), pp. 154–159. IEEE (2018)
Stikane, A., Dace, E., Stalidzans, E.: Closing the loop in bioproduction: spent microbial biomass as a resource within circular bioeconomy. New Biotechnol. 70, 109–115 (2022). https://doi.org/10.1016/j.nbt.2022.06.001
Schilling, C., Weiss, S.: A roadmap for industry to harness biotechnology for a more circular economy. New Biotechnol. 60, 9–11 (2021). https://doi.org/10.1016/j.nbt.2020.08.005
Udugama, I.A., Lopez, P.C., Gargalo, C.L., Li, X., Bayer, C., Gernaey, K.V.: Digital Twin in biomanufacturing: challenges and opportunities towards its implementation. Syst. Microbiol. Biomanuf. 1(3), 257–274 (2021). https://doi.org/10.1007/s43393-021-00024-0
Sokolov, M., von Stosch, M., Narayanan, H., Feidl, F., Butté, A.: Hybrid modeling—A key enabler towards realizing Digital Twins in biopharma? Curr. Opin. Chem. Eng. 34, 100715 (2021). https://doi.org/10.1016/j.coche.2021.100715
Chen, Y., Yang, O., Sampat, C., Bhalode, P., Ramachandran, R., Ierapetritou, M.: Digital Twins in pharmaceutical and Biopharmaceutical Manufacturing: a literature review. Processes 8(9), 1088 (2020). https://doi.org/10.3390/pr8091088
Hengelbrock, A., et al.: Digital twin for HIV-Gag VLP production in Hek293 cells. Processes 10(5), 866 (2022). https://doi.org/10.3390/pr10050866
Helgers, H., Schmidt, A., Strube, J.: Towards autonomous process control—Digital twin for Cho cell-based antibody manufacturing using a dynamic metabolic model. Processes 10(2), 316 (2022). https://doi.org/10.3390/pr10020316
Park, S.-Y., Park, C.-H., Choi, D.-H., Hong, J.K., Lee, D.-Y.: Bioprocess Digital Twins of mammalian cell culture for advanced biomanufacturing. Curr. Opin. Chem. Eng. 33, 100702 (2021). https://doi.org/10.1016/j.coche.2021.100702
Nikolov, A., Drobnjakovic, M., Kulvatunyou, B.: Produce it sustainably: life cycle assessment of a biomanufacturing process through the ontology lens. In: APMS Conference 2023, Trondheim, Norway (2023).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 IFIP International Federation for Information Processing
About this paper
Cite this paper
Drobnjakovic, M., Shao, G., Nikolov, A., Kulvatunyou, B., Frechette, S., Srinivasan, V. (2023). Towards Ontologizing a Digital Twin Framework for Manufacturing. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-031-43666-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-031-43666-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-43665-9
Online ISBN: 978-3-031-43666-6
eBook Packages: Computer ScienceComputer Science (R0)