TY - GEN
T1 - Lessons Learned from developing Industrial Applications according to RAMI 4.0 by applying Model Based Systems Engineering
AU - Binder, C.
AU - Brankovic, B.
AU - Neureiter, C.
AU - Lüder, A.
N1 - Conference code: 163774
Cited By :3
Export Date: 14 December 2023
CODEN: 85ROA
Funding details: Salzburger Landesregierung
Funding text 1: The financial support by the Federal State of Salzburg is also gratefully acknowledged.
Funding text 2: ACKNOWLEDGMENT The support for valuable contributions of LieberLieber Software GmbH and successfactory consulting group is gratefully acknowledged. The financial support by the Federal State of Salzburg is also gratefully acknowledged.
References: Jazdi, N., Cyber physical systems in the context of industry 4.0 (2014) 2014 IEEE International Conference on Automation, Quality and Testing, Robotics. IEEE, pp. 1-4; Lee, J., Bagheri, B., Kao, H.-A., A cyber-physical systems architecture for industry 4.0-based manufacturing systems (2015) Manufacturing Letters, 3, pp. 18-23; (2016) Deutsches Institut für Normung, , DIN SPEC 91345: Rami 4.0; Harrison, R., Vera, D., Ahmad, B., Engineering methods and tools for cyber-physical automation systems (2016) Proceedings of the IEEE, 104 (5), pp. 973-985; Binder, C., Neureiter, C., Lastro, G., Towards a model-driven architecture process for developing industry 4.0 applications (2019) International Journal of Modeling and Optimization, 9 (1), pp. 1-6; Binder, C., Neureiter, C., Lastro, G., Uslar, M., Lieber, P., Towards a standards-based domain specific language for industry 4.0 architectures (2019) Complex Systems Design & Management, E. Bonjour, D. Krob, L. Palladino, and F. Stephan, Eds. Springer International Publishing, pp. 44-55; Binder, C., Draxler, D., Neureiter, C., Lastro, G., (2019) Towards A Modelcentric Approach for Developing Functional Architectures in Industry 4.0 Systems; Hankel, M., Rexroth, B., The reference architectural model industrie 4.0 (RAMI 4.0) (2015) ZVEI; Umsetzungsstrategie industrie 4.0, ergebnisbericht der plattform industrie 4.0 (2015) ZVEI, , Bitkom VDMA ZVEI; Pohl, K., Hönninger, H., Achatz, R., Broy, M., Model-based engineering of embedded systems: The SPES 2020 methodology (2012) Springer Science & Business Media; Brankovic, B., Binder, C., Draxler, D., Neureiter, C., Lastro, G., Towards a cross-domain modeling approach in system-of-systems architectures (2020) Complex Systems Design & Management, pp. 164-175. , G. A. Boy, A. Guegan, D. Krob, and V. Vion, Eds. Cham: Springer International Publishing; Mosch, C., Prumbohm, F., (2018) Leitfaden Industrie 4.0 Trifft Lean-wertschöpfung Ganzheitlich Steigern; Lamm, J.G., Weilkiens, T., Funktionale architekturen in sysml (2010) Tag des Systems Engineering, pp. 109-118. , Nov, M.Maurer and S.-O. Schulze, Eds. München, Germany: Carl Hanser Verlag English translation by J. Lamm
PY - 2020
Y1 - 2020
N2 - The transformation from original production line manufacturing towards complex value creation networks causes new challenges for manufacturing companies to stay in touch with or even delimit from the competition. This new trend, resulting from the emergence of the Industrial Internet of Things (IIoT), offers new automation possibilities by interconnecting all system components with each other. However, as those components, mainly known as Cyber-physical Systems (CPS) are usually systems themselves, the complexity of such a manufacturing system continously rises, which even has to be classified as a complex System of Systems (SoS). Having recognized the issue of the upcoming difficulties when engineering such a system, several German institutes introduced the Reference Architecture Industrie 4.0 (RAMI 4.0), a three-dimensional framework that offers standards or methods for developing system architectures on basis of different views. Nevertheless, at the current point of view, this approach though looks good on paper, but almost none practical applications are existing yet. Thus, this paper focuses on the model-based development of system architectures according to the specifications of RAMI 4.0 in order to evaluate the practical applicability of this reference architecture for usage in actual industrial projects. This is done by utilizing two actual industrial case studies, whose models are created with the help of a specifically designed software tool, the so-called RAMI Toolbox. Based on the outcome of this work, the usage of RAMI 4.0 for application in the industrial area could be sustainably consolidated. © 2020 IEEE.
AB - The transformation from original production line manufacturing towards complex value creation networks causes new challenges for manufacturing companies to stay in touch with or even delimit from the competition. This new trend, resulting from the emergence of the Industrial Internet of Things (IIoT), offers new automation possibilities by interconnecting all system components with each other. However, as those components, mainly known as Cyber-physical Systems (CPS) are usually systems themselves, the complexity of such a manufacturing system continously rises, which even has to be classified as a complex System of Systems (SoS). Having recognized the issue of the upcoming difficulties when engineering such a system, several German institutes introduced the Reference Architecture Industrie 4.0 (RAMI 4.0), a three-dimensional framework that offers standards or methods for developing system architectures on basis of different views. Nevertheless, at the current point of view, this approach though looks good on paper, but almost none practical applications are existing yet. Thus, this paper focuses on the model-based development of system architectures according to the specifications of RAMI 4.0 in order to evaluate the practical applicability of this reference architecture for usage in actual industrial projects. This is done by utilizing two actual industrial case studies, whose models are created with the help of a specifically designed software tool, the so-called RAMI Toolbox. Based on the outcome of this work, the usage of RAMI 4.0 for application in the industrial area could be sustainably consolidated. © 2020 IEEE.
KW - System of systems
KW - Cyber-physical systems (CPS)
KW - Model-based systems engineering
KW - Reference architecture
KW - System architectures
U2 - 10.1109/ETFA46521.2020.9211892
DO - 10.1109/ETFA46521.2020.9211892
M3 - Conference contribution
SN - 978-1-7281-8957-4
SP - 883
EP - 888
BT - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
Y2 - 8 September 2020 through 11 September 2020
ER -