Development of an architectural-logical model to automate the management of the process of creating complex cyber-physical industrial systems
DOI:
https://doi.org/10.15587/1729-4061.2020.210761Keywords:
Industry 4.0., Smart Manufacturing, cyber-physical manufacturing systems, multi-systems, metasystem, physical world, cyber worldAbstract
Modern highly technological production puts forward new requirements and approaches to the implementation of the Industry 4.0 concept. To achieve this, it is necessary to develop a cyber-physical production system that would make it possible to fully take into consideration all the factors of the actual production system. All solutions must pursue the global goal of making the best use of production time and resources, as well as meet the "Lean Production" concept. Existing ISO-95, 5C, and 8C cyber-physical production systems (CPPS) reference architectures cannot provide clearly expressed systematization and detailing. Such systems are a set of general recommendations that show the interaction processes among the physical and cyber-components of CPPS. This paper reports a new approach to the systemic representation of the processes for managing the development of complex cyber-physical production systems in the face of today's threats. We have suggested a systemic representation of automating the process of managing the development of complex CPPS. Modern threats to the cyber-physical and information and communication systems (ICS) have been considered, which underlie CPPS. An architectural-logical model, as well as methods for automating the CPPS development process management, have been developed. This could help build a logical relationship from the initial "target" stage to the process of obtaining "management algorithms" at each level and stage of CPPS development as a symbiosis of physical and cyber-components. The devised CPPS development process management model provides an opportunity to propose a group of mathematical models and methods that logically link all development stages into a single "rigid" hierarchical sequence. This makes it possible to build a single information space with a set of complex CPPS development methodology. The proposed solutions could enable the development of an automated system to manage the process of the development of complex CPPS
References
- DIN SPEC 91345:2016-04. Referenzarchitekturmodell Industrie 4.0 (RAMI4.0). doi: https://doi.org/10.31030/2436156
- Kunath, M., Winkler, H. (2019). Adaptive Assistenzsysteme zur Entscheidungsunterstützung für die dynamische Auftragsabwicklung: Konzeptionelle Überlegungen und Anwendungsszenarien unter Berücksichtigung des Digitalen Zwillings des Produktionssystems. Handbuch Industrie 4.0 Und Digitale Transformation, 269–294. doi: https://doi.org/10.1007/978-3-658-24576-4_12
- Uhlemann, T. H.-J., Lehmann, C., Steinhilper, R. (2017). The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0. Procedia CIRP, 61, 335–340. doi: https://doi.org/10.1016/j.procir.2016.11.152
- DIN SPEC 16593-1:2018-04. Reference Model for Industrie 4.0 Service Architectures - Part 1: Basic Concepts of an Interaction-based Architecture. doi: https://doi.org/10.31030/2838942
- Francalanza, E., Borg, J., Constantinescu, C. (2017). A knowledge-based tool for designing cyber physical production systems. Computers in Industry, 84, 39–58. doi: https://doi.org/10.1016/j.compind.2016.08.001
- Tomiyama, T., Moyen, F. (2018). Resilient architecture for cyber-physical production systems. CIRP Annals, 67 (1), 161–164. doi: https://doi.org/10.1016/j.cirp.2018.04.021
- Kaestner, F., Kuschnerus, D., Spiegel, C., Janssen, B., Huebner, M. (2018). Design of an efficient Communication Architecture for Cyber-Physical Production Systems. 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). doi: https://doi.org/10.1109/coase.2018.8560563
- Hoffmann, S., de Carvalho, A. F. P., Abele, D., Schweitzer, M., Tolmie, P., Wulf, V. (2019). Cyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Design. Computer Supported Cooperative Work (CSCW), 28 (3-4), 469–509. doi: https://doi.org/10.1007/s10606-019-09355-y
- Ribeiro, L., Hochwallner, M. (2018). On the Design Complexity of Cyberphysical Production Systems. Complexity, 2018, 1–13. doi: https://doi.org/10.1155/2018/4632195
- Lee, J., Bagheri, B., Kao, H.-A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23. doi: https://doi.org/10.1016/j.mfglet.2014.12.001
- Jiang, J.-R. (2018). An improved cyber-physical systems architecture for Industry 4.0 smart factories. Advances in Mechanical Engineering, 10 (6), 168781401878419. doi: https://doi.org/10.1177/1687814018784192
- Ma, Z., Hudic, A., Shaaban, A., Plosz, S. (2017). Security Viewpoint in a Reference Architecture Model for Cyber-Physical Production Systems. 2017 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). doi: https://doi.org/10.1109/eurospw.2017.65
- Cruz Salazar, L. A., Ryashentseva, D., Lüder, A., Vogel-Heuser, B. (2019). Cyber-physical production systems architecture based on multi-agent’s design pattern-comparison of selected approaches mapping four agent patterns. The International Journal of Advanced Manufacturing Technology, 105 (9), 4005–4034. doi: https://doi.org/10.1007/s00170-019-03800-4
- Verigin, A. N., Lisitsin, N. V. (2007). Organizatsionnye sistemy: Metody issledovaniya. Sankt-Petrburg: SPbGTI(TU), 701.
- Shmatko, O., Balakireva, S., Vlasov, A., Zagorodna, N., Korol, O., Milov, O. et. al. (2020). Development of methodological foundations for designing a classifier of threats to cyberphysical systems. Eastern-European Journal of Enterprise Technologies, 3 (9 (105)), 6–19. doi: https://doi.org/10.15587/1729-4061.2020.205702
- Monostori, L. (2014). Cyber-physical Production Systems: Roots, Expectations and R&D Challenges. Procedia CIRP, 17, 9–13. doi: https://doi.org/10.1016/j.procir.2014.03.115
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