TY - GEN
T1 - Using a model-based engineering approach for developing Industrial Internet of Things applications
AU - Binder, C.
AU - Draxler, D.
AU - Neureiter, C.
AU - Lastro, G.
N1 - Conference code: 165643
Cited By :1
Export Date: 14 December 2023
Funding details: Salzburger Landesregierung
Funding text 1: 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: Gilchrist, A., (2016) Industry 4.0: The Industrial Internet of Things, , Springer; Schuh, G., Potente, T., Wesch-Potente, C., Hauptvogel, A., (2013) Sustainable Increase of Overhead Productivity Due to Cyber-Physical-Systems; Mueller, E., Chen, X.-L., Riedel, R., Challenges and requirements for the application of industry 4.0: A special insight with the usage of cyber-physical system (2017) Chinese Journal of Mechanical Engineering, 30 (5), p. 1050; Claude, R.M., Jr., Horne, D.A., Restructuring towards a service orientation: The strategic challenges (1992) International Journal of Service Industry Management, 3 (1); Zvei-zentralverband elektrotechnik-und elektronikindustrie e.v (2015) Industrie 4.0: Das Referenzarchitekturmodell Industrie 4.0 (Rami 4.0), , zvei, Tech. Rep; (2016) Deutsches Institut für Normung, , din spec 91345: rami 4.0; 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, pp. 44-55. , E. Bonjour, D. Krob, L. Palladino, and F. Stephan, Eds. Springer International Publishing; 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., Draxler, D., Neureiter, C., Lastro, G., (2019) Towards a Model-Centric Approach for Developing Functional Architectures in Industry 4.0 Systems; Hermann, M., Pentek, T., Otto, B., Design principles for industrie 4.0 scenarios (2016) 2016 49th Hawaii International Conference on System Sciences HICSS, pp. 3928-3937. , ieee; Pohl, K., Broy, M., Daembkes, H., Hönninger, H., (2016) Advanced Model-Based Engineering of Embedded Systems, , Springer; (2011) Iso/Iec/Ieee 42010: Systems and Software Engineering-Architecture Description, , International Organization for Standardization; Umsetzungsstrategie industrie 4.0, ergebnis-bericht der plattform industrie 4.0 (2015) Zvei, , Bitkom, vdma, zvei; (2016) Iec 62890: Life-Cycle Management for Systems and Products Used in Industrial-Process Measurement, Control and Automation, , International Electrotechnical Commission; Pohl, K., Broy, M., Daembkes, H., Hönninger, H., (2016) Iec 62264: Enterprise-Control System Integration; Pohl, K., Broy, M., Daembkes, H., Hönninger, H., (2001) Iec 61512: Batch Control; Hankel, M., Rexroth, B., The reference architectural model industrie 4.0 (rami 4.0) (2015) Zvei; Pohl, K., Hönninger, H., Achatz, R., Broy, M., Model-based engineering of embedded systems: The spes 2020 methodology (2012) Springer Science & Business Media; Micouin, P., (2014) Model Based Systems Engineering: Fundamentals and Methods, , John Wiley & Sons; Arantes, M., Bonnard, R., Mattei, A.P., De Saqui-Sannes, P., General architecture for data analysis in industry 4.0 using sysml and model based system engineering (2018) 2018 Annual Ieee International Systems Conference (SysCon), pp. 1-6. , ieee; Sharpe, R., Van Lopik, K., Neal, A., Goodall, P., Conway, P.P., West, A.A., An industrial evaluation of an industry 4.0 reference architecture demonstrating the need for the inclusion of security and human components (2019) Computers in Industry, 108, pp. 37-44; Uhlemann, T.H.-J., Lehmann, C., Steinhilper, R., The digital twin: Realizing the cyber-physical production system for industry 4.0 (2017) Procedia Cirp, 61, pp. 335-340; Morkevicius, A., Bisikirskiene, L., Bleakley, G., Using a systems of systems modeling approach for developing industrial internet of things applications (2017) 2017 12th System of Systems Engineering Conference (SoSE, pp. 1-6. , ieee; Brown, W.A., Model driven architecture: Principles and practice (2004) Software and Systems Modeling, 3 (4), pp. 314-327; Conboy, K., Gleasure, R., Cullina, E., Agile design science research (2015) International Conference on Design Science Research in Information Systems, pp. 168-180. , Springer; 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. , Cham: Springer International Publishing
PY - 2020
Y1 - 2020
N2 - Industrial Internet of Things (IIoT), a new way of developing manufacturing systems and their participants, better known as Cyber-physical Systems (CPS), is a term that is promoted by the emergence of the so-called fourth industrial revolution. This new trend in industrial manufacturing offers new automation possibilities with the goal to optimize operational efficiency, minimize costs and realize new business models. However, accompanied with those new opportunities, on the other hand engineering such systems and their architectures has become a complex and difficult task. Having recognized this issue, the Reference Architecture Model Industrie 4.0 (RAMI 4.0) has been introduced in order to provide viewpoints for structuring an Industry 4.0 based system according to the different concerns to address. Although providing a standardized framework, at the current point of view it is difficult to describe a detailed system architecture, since this reference model is missing formalizations and common methods. Therefore, this paper proposes a possibility of aligning the model-based engineering methods introduced by the Software Platform Embedded Systems (SPES) with the architectural concepts of RAMI 4.0 in order to close the aforementioned gap and provide well-defined methodology in order to develop current and future industrial systems. To achieve this, similarities between both approaches are analyzed and compared with each other and a architecture definition based on the ISO 42010 is given, which is subsequently evaluated by the application of a real-world case study. © 2020 IEEE.
AB - Industrial Internet of Things (IIoT), a new way of developing manufacturing systems and their participants, better known as Cyber-physical Systems (CPS), is a term that is promoted by the emergence of the so-called fourth industrial revolution. This new trend in industrial manufacturing offers new automation possibilities with the goal to optimize operational efficiency, minimize costs and realize new business models. However, accompanied with those new opportunities, on the other hand engineering such systems and their architectures has become a complex and difficult task. Having recognized this issue, the Reference Architecture Model Industrie 4.0 (RAMI 4.0) has been introduced in order to provide viewpoints for structuring an Industry 4.0 based system according to the different concerns to address. Although providing a standardized framework, at the current point of view it is difficult to describe a detailed system architecture, since this reference model is missing formalizations and common methods. Therefore, this paper proposes a possibility of aligning the model-based engineering methods introduced by the Software Platform Embedded Systems (SPES) with the architectural concepts of RAMI 4.0 in order to close the aforementioned gap and provide well-defined methodology in order to develop current and future industrial systems. To achieve this, similarities between both approaches are analyzed and compared with each other and a architecture definition based on the ISO 42010 is given, which is subsequently evaluated by the application of a real-world case study. © 2020 IEEE.
KW - Domain-specific Systems Engineering (DSSE)
KW - Reference Architecture Model Industrie 4.0 (RAMI 4.0)
KW - System Architecture
KW - Architectural concepts
KW - Cyber-physical systems (CPS)
KW - Reference architecture
KW - System architectures
U2 - 10.1109/ICPS48405.2020.9274701
DO - 10.1109/ICPS48405.2020.9274701
M3 - Conference contribution
SN - 978-1-7281-6390-1
SP - 35
EP - 40
BT - 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020
Y2 - 10 June 2020 through 12 June 2020
ER -