TY - JOUR
T1 - Towards a Domain-Specific Approach Enabling Tool-Supported Model-Based Systems Engineering of Complex Industrial Internet-of-Things Applications
AU - Binder, C.
AU - Neureiter, C.
AU - Lüder, A.
N1 - Cited By :14
Export Date: 14 December 2023
Correspondence Address: Binder, C.; Josef Ressel Centre for Dependable System-of-Systems Engineering, Urstein Sued 1, Austria; email: [email protected]
Funding details: Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung
Funding details: Christian Doppler Forschungsgesellschaft, CDG
Funding details: Bundesministerium für Digitalisierung und Wirtschaftsstandort, BMDW
Funding details: Salzburger Landesregierung
Funding text 1: Acknowledgments: The support for valuable contributions of LieberLieber Software GmbH and successfactory consulting group is gratefully acknowledged. The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association and the Federal State of Salzburg is also gratefully acknowledged.
References: Serpanos, D., Wolf, M., Industrial internet of things (2018) Internet-of-Things (IoT) Systems, pp. 37-54. , Springer: Berlin/Heidelberg, Germany; Iglesias, A., Sagardui, G., Arellano, C., Industrial cyber-physical system evolution detection and alert generation (2019) Appl. Sci, 9, p. 1586. , [CrossRef]; Colombo, A.W., Karnouskos, S., Kaynak, O., Shi, Y., Yin, S., Industrial cyberphysical systems: A backbone of the fourth industrial revolution (2017) IEEE Ind. Electron. Mag, 11, pp. 6-16. , [CrossRef]; Sisinni, E., Saifullah, A., Han, S., Jennehag, U., Gidlund, M., Industrial internet of things: Challenges, opportunities, and directions (2018) IEEE Trans. Ind. Inform, 14, pp. 4724-4734; Haberfellner, R., de Weck, O., Fricke, E., Vössner, S., (2015) Systems Engineering-Grundlagen und Anwendung, , 13rd ed.; Orell Füssli: Basel/Zürich, Switzerland; DeLaurentis, D., Understanding transportation as a system-of-systems design problem (2005) Proceedings of the 43rd AIAA Aerospace Sciences Meeting and Exhibit, p. 123. , Reno, NV, USA, 10–13 January; Lasi, H., Fettke, P., Kemper, H.G., Feld, T., Hoffmann, M., Industry 4.0 (2014) Bus. Inf. Syst. Eng, 6, pp. 239-242. , [CrossRef]; Weyrich, M., Ebert, C., Reference architectures for the internet of things (2016) IEEE Softw, 33, pp. 112-116. , [CrossRef]; Hankel, M., Rexroth, B., The Reference Architectural Model Industrie 4.0 (RAMI 4.0) (2015) ZVEI, 1, pp. 1-2; Pai, D., Interoperability between IIC Architecture & Industry 4.0 Reference Architecture for Industrial Assets (2016) Infosys. Tech. Rep, 1, pp. 1-12; Lin, S.W., Murphy, B., Clauer, E., Loewen, U., Neubert, R., Bachmann, G., Pai, M., Hankel, M., Architecture Alignment and Interoperability-An Industrial Internet Consortium and Plattform Industrie 4.0 Joint Whitepaper (2017) White Paper, Industrial Internet Consortium, , IIC: Milford, MA, USA; (2016) Reference Architecture Model Industrie 4.0, , SPEC. 91345: 2016-04 Beuth Verlag GmbH: Berlin, Germany; Umsetzungsstrategie Industrie 4.0, Ergebnisbericht der Plattform Industrie 4.0 (2015) ZVEI, 1, pp. 40-69. , Bitkom; VDMA; ZVEI; Delsing, J., (2017) Iot Automation: Arrowhead Framework, , CRC Press: Boca Raton, FL, USA; Varga, P., Blomstedt, F., Ferreira, L.L., Eliasson, J., Johansson, M., Delsing, J., de Soria, I.M., Making system of systems interoperable–The core components of the arrowhead framework (2017) J. Netw. Comput. Appl, 81, pp. 85-95. , [CrossRef]; Grangel-González, I., Halilaj, L., Coskun, G., Auer, S., Collarana, D., Hoffmeister, M., Towards a semantic administrative shell for industry 4.0 components Proceedings of the 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), pp. 230-237. , Laguna Hills, CA, USA, 4–6 February 2016; Adolphs, P., Auer, S., Bedenbender, H., Billmann, M., Hankel, M., Heidel, R., Hoffmeister, M., Kiele-Dunsche, M., Struktur der Verwaltungsschale: Fortentwicklung des Referenzmodells für die Industrie 4.0-Komponente (2016) Bundesministerium für Wirtschaft und Energie (BMWi), , Spreedruck Berlin GmbH: Berlin, Germany; 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 Proceedings of the 2018 Annual IEEE International Systems Conference (SysCon), pp. 1-6. , Vancouver, BC, Canada, 23–26 April 2018; 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) Comput. Ind, 108, pp. 37-44. , [CrossRef]; 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. , [CrossRef]; Tran, N.H., Park, H.S., Nguyen, Q.V., Hoang, T.D., Development of a smart cyber-physical manufacturing system in the industry 4.0 context (2019) Appl. Sci, 9, p. 3325. , [CrossRef]; Morkevicius, A., Bisikirskiene, L., Bleakley, G., Using a systems of systems modeling approach for developing Industrial Internet of Things applications Proceedings of the 2017 12th System of Systems Engineering Conference (SoSE), pp. 1-6. , Waikoloa, HI, USA, 18–21 June 2017; Radanliev, P., Montalvo, R.M., Cannady, S., Nicolescu, R., De Roure, D., Nurse, J.R., Huth, M., (2019) Cyber Security Framework for the Internet-of-Things in Industry 4.0, , Munich University Library: Munich, Germany; Radanliev, P., De Roure, D., Nicolescu, R., Huth, M., (2019) A reference architecture for integrating the Industrial Internet of Things in the Industry 4.0, , arXiv arXiv:1903.04369; Kozma, D., Varga, P., Hegedus, C., Supply Chain Management and Logistics 4.0-A Study on Arrowhead Framework Integration Proceedings of the 2019 8th International Conference on Industrial Technology and Management (ICITM), pp. 12-16. , Cambridge, UK, 2–4 March 2019; Xu, W., Tao, Y., Yang, C., Chen, H., MSICST: Multiple-Scenario Industrial Control System Testbed for Security Research (2019) Comput. Mater. Contin, 58, pp. 691-705. , [CrossRef]; Manduri, A., Ghani, A., Qureshi, M.A., Band, S., Smart Security Framework for Educational Institutions Using Internet of Things (IoT) (2019) Comput. Mater. Contin, 61, pp. 81-101; Aguilar, L., Nava-Diaz, S.W., Chavira, G., Implementation of Decision Trees as an Alternative for the Support in the Decision-making within an Intelligent System in Order to Automatize the Regulation of the Vocs in Non-Industrial Inside Environments (2019) Comput. Syst. Sci. Eng, 34, pp. 297-303. , [CrossRef]; Conboy, K., Gleasure, R., Cullina, E., Agile Design Science Research (2015) International Conference on Design Science Research in Information Systems, pp. 168-180. , Springer: Berlin/Heidelberg, Germany; 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. , Bonjour, E., Krob, D., Palladino, L., Stephan, F., Eds.; Springer International Publishing: Cham, Switzerland; Lake, J.G., Thoughts About Life Cycle Phases: How A System Is Developed Incrementally (1997) INCOSE International Symposium, 7, pp. 597-603. , Wiley Online Library: Los Angeles, CA, USA; Binder, C., Neureiter, C., Lastro, G., Towards a Model-Driven Architecture Process for Developing Industry 4.0 Applications (2019) Int. J. Model. Optim, 9, pp. 1-6. , [CrossRef]; Weilkiens, T., Lamm, J.G., Roth, S., Walker, M., (2015) Model-Based System Architecture, pp. 189-230. , John Wiley & Sons: Hoboken, NJ, USA; González, I., Calderón, A.J., Figueiredo, J., Sousa, J., A literature survey on open platform communications (OPC) applied to advanced industrial environments (2019) Electronics, 8, p. 510. , [CrossRef]; Shin, S.J., An OPC UA-compliant Interface of Data Analytics Models for Interoperable Manufacturing Intelligence (2020) IEEE Trans. Ind. Inform, 17, pp. 3588-3598. , [CrossRef]; Zhang, H., Yan, Q., Wen, Z., Information modeling for cyber-physical production system based on digital twin and AutomationML (2020) Int. J. Adv. Manuf. Technol, 107, pp. 1-19. , [CrossRef]
PY - 2021/3/24
Y1 - 2021/3/24
N2 - Contemporary manufacturing systems are undergoing a major change promoted by emerging technologies such as Cyber-physical Systems (CPS) or the Internet of Things (IoT). This trend, nowadays widely known by the term “Industry 4.0”, leads to a new kind of automated production. However, the rising number of dynamically interconnected elements in industrial production lines results in such a system being transformed into a complex System of Systems (SoS). Due to the increasing complexity and the challenges accompanied by this change, conventional engineering methods using generic principles reach their limits when developing this type of systems. With varying approaches only trying to find a solution for small-scaled areas of this problem statement, the need for a holistic methodology becomes more and more obvious. Having recognized this issue, one of the most promising approaches has been introduced with the Reference Architecture Model Industry 4.0 (RAMI 4.0). However, in the current point of view, this domain-specific architecture framework is missing specifications to address all aspects of such a critical infrastructure. Thus, this paper introduces a comprehensive modeling approach utilizing methods applied in Model-Based Systems Engineering (MBSE) and including domain-specific particularities as well as architectural concepts with the goal to enable mutual engineering of current and future industrial systems. The resulting artifacts, a domain-specific language (DSL), an architecture definition and a development process, are thereby consolidated in a ready to use software framework, whose applicability was evaluated by a real-world case study. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
AB - Contemporary manufacturing systems are undergoing a major change promoted by emerging technologies such as Cyber-physical Systems (CPS) or the Internet of Things (IoT). This trend, nowadays widely known by the term “Industry 4.0”, leads to a new kind of automated production. However, the rising number of dynamically interconnected elements in industrial production lines results in such a system being transformed into a complex System of Systems (SoS). Due to the increasing complexity and the challenges accompanied by this change, conventional engineering methods using generic principles reach their limits when developing this type of systems. With varying approaches only trying to find a solution for small-scaled areas of this problem statement, the need for a holistic methodology becomes more and more obvious. Having recognized this issue, one of the most promising approaches has been introduced with the Reference Architecture Model Industry 4.0 (RAMI 4.0). However, in the current point of view, this domain-specific architecture framework is missing specifications to address all aspects of such a critical infrastructure. Thus, this paper introduces a comprehensive modeling approach utilizing methods applied in Model-Based Systems Engineering (MBSE) and including domain-specific particularities as well as architectural concepts with the goal to enable mutual engineering of current and future industrial systems. The resulting artifacts, a domain-specific language (DSL), an architecture definition and a development process, are thereby consolidated in a ready to use software framework, whose applicability was evaluated by a real-world case study. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
KW - Industrial Internet of Things (IIoT)
KW - Industry 4.0
KW - Model-Based Systems Engineering (MBSE)
KW - Reference Architecture Model Industry 4.0 (RAMI 4.0)
KW - System of Systems (SoS)
KW - Systems architecture
U2 - 10.3390/systems9020021
DO - 10.3390/systems9020021
M3 - Article
SN - 2079-8954
VL - 9
JO - Systems
JF - Systems
IS - 2
ER -