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Towards a DevOps Approach in Cyber Physical Production Systems Using Digital Twins

Published: 15 September 2020 Publication History

Abstract

Nowadays product manufacturing must respond to mass customisation of products in order to meet the global market needs. This requires an agile and dynamic production process to be competitive in the market. Consequently, the need of factory digitalisation arises with the introduction of Industry 4.0. One example of the digitalisation is the digital twin. Digital twin enhances flexibility due to its adaptability and seamless interaction between the physical system and its virtual model. Furthermore, it bridges the gap between development and operations through the whole product life cycle. Therefore, digital twin can be an enabler for the DevOps application in cyber physical production systems as DevOps aims at merging Development and Operations to provide a continuous and an agile process. This paper analyses the use of the digital twin to enable a DevOps approach of cyber physical production systems (CPPS) in order to create a fully integrated and automated production process, enabling continuous improvement.

References

[1]
Banica L and Stefan C Stepping into the industry 4.0: the digital twin approach Ann. Univ. Dunarea de Jos Galati: Fascicle: I, Econ. Appl. Inform. 2019 25 3 107-113
[2]
Bitton R et al. Lopez J, Zhou J, Soriano M, et al. Deriving a cost-effective digital twin of an ICS to facilitate security evaluation Computer Security 2018 Cham Springer 533-554
[3]
Boschert S and Rosen R Hehenberger P and Bradley D Digital twin—the simulation aspect Mechatronic Futures 2016 Cham Springer 59-74
[4]
Capizzi, A., Distefano, S., Mazzara, M.: From DevOps to DevDataOps: data management in DevOps processes. arXiv preprint arXiv:1910.03066 (2019)
[5]
Caprarelli A, Di Nitto E, and Tamburri DA Bruel J-M, Mazzara M, and Meyer B Fallacies and pitfalls on the road to DevOps: a longitudinal industrial study Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment 2020 Cham Springer 200-210
[6]
Combemale B and Wimmer M Bruel J-M, Mazzara M, and Meyer B Towards a model-based DevOps for cyber-physical systems Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment 2020 Cham Springer 84-94
[7]
Dahmen, U., Rossmann, J.: Experimentable digital twins for a modeling and simulation-based engineering approach. In: 2018 IEEE International Systems Engineering Symposium (ISSE), pp. 1–8. IEEE (2018)
[8]
Dahmen U and Roßmann J Simulation-based verification with experimentable digital twins in virtual testbeds Tagungsband des 3. Kongresses Montage Handhabung Industrieroboter 2018 Heidelberg Springer 139-147
[9]
Di Orio, G., Maló, P., Barata, J.: NOVAAS: a reference implementation of industrie4.0 asset administration shell with best-of-breed practices from it engineering. In: IECON 2019–45th Annual Conference of the IEEE Industrial Electronics Society, vol. 1, pp. 5505–5512. IEEE (2019)
[10]
Ebert C, Gallardo G, Hernantes J, and Serrano N DevOps IEEE Softw. 2016 33 3 94-100
[11]
Garcia J and Cabot J Bruel J-M, Mazzara M, and Meyer B Stepwise adoption of continuous delivery in model-driven engineering Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment 2019 Cham Springer 19-32
[12]
Giaimo, F., Yin, H., Berger, C., Crnkovic, I.: Continuous experimentation on cyber-physical systems: challenges and opportunities. In: Proceedings of the Scientific Workshop Proceedings of XP 2016, pp. 1–2 (2016)
[13]
Grieves MW Product lifecycle management: the new paradigm for enterprises Int. J. Prod. Dev. 2005 2 1–2 71-84
[14]
Kang, S., Chun, I., Kim, H.S.: Design and implementation of runtime verification framework for cyber-physical production systems. J. Eng. 2019 (2019)
[15]
Kim G, Humble J, Debois P, and Willis J The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations 2016 Portland IT Revolution
[16]
Lanz M, Lobov A, Katajisto K, and Mäkelä P A concept and local implementation for industry-academy collaboration and life-long learning Procedia Manuf. 2018 23 189-194
[17]
Lasi H, Fettke P, Kemper H-G, Feld T, and Hoffmann M Industry 4.0 Bus. Inf. Syst. Eng. 2014 6 4 239-242
[18]
Leng J et al. Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model Robot. Comput.-Integr. Manuf. 2020 63 101895
[19]
Leng J, Zhang H, Yan D, Liu Q, Chen X, and Zhang D Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop J. Ambient Intell. Humaniz. Comput. 2018 10 3 1155-1166
[20]
Li X, Du J, Wang X, Yang D, and Yang B Xhafa F, Patnaik S, and Tavana M Research on digital twin technology for production line design and simulation Advances in Intelligent Systems and Interactive Applications 2020 Cham Springer 516-522
[21]
Lu Y, Liu C, Kevin I, Wang K, Huang H, and Xu X Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues Robot. Comput.-Integr. Manuf. 2020 61 101837
[22]
Mandolla C, Petruzzelli AM, Percoco G, and Urbinati A Building a digital twin for additive manufacturing through the exploitation of blockchain: a case analysis of the aircraft industry Comput. Ind. 2019 109 134-152
[23]
Monostori L Cyber-physical production systems: roots, expectations and R&D challenges Procedia CIRP 2014 17 9-13
[24]
Monostori L et al. Cyber-physical systems in manufacturing CIRP Ann. 2016 65 2 621-641
[25]
Qi Q and Tao F Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison IEEE Access 2018 6 3585-3593
[26]
Qi, Q., et al.: Enabling technologies and tools for digital twin. J. Manuf. Syst. (2019)
[27]
Shafto, M., et al.: Modeling, simulation, information technology & processing roadmap. National Aeronautics and Space Administration (2012)
[28]
Söderberg R, Wärmefjord K, Carlson JS, and Lindkvist L Toward a digital twin for real-time geometry assurance in individualized production CIRP Ann. 2017 66 1 137-140
[29]
Sun X, Bao J, Li J, Zhang Y, Liu S, and Zhou B A digital twin-driven approach for the assembly-commissioning of high precision products Robot. Comput.-Integr. Manuf. 2020 61 101839
[30]
Tao F, Zhang M, Liu Y, and Nee A Digital twin driven prognostics and health management for complex equipment CIRP Ann. 2018 67 1 169-172
[31]
Toivonen V, Lanz M, Nylund H, and Nieminen H The FMS Training Center-a versatile learning environment for engineering education Procedia Manuf. 2018 23 135-140
[32]
Tudorache, T.: Employing ontologies for an improved development process in collaborative engineering. Doctoral thesis, Technische Universität Berlin, Fakultät IV - Elektrotechnik und Informatik, Berlin (2006).
[33]
Wortmann A, Barais O, Combemale B, and Wimmer M Modeling languages in industry 4.0: an extended systematic mapping study Softw. Syst. Model. 2020 19 1 67-94
[34]
Zhang K et al. Digital twin-based opti-state control method for a synchronized production operation system Robot. Comput.-Integr. Manuf. 2020 63 101892
[35]
Zheng P and Sivabalan AS A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment Robot. Comput.-Integr. Manuf. 2020 64 101958
[36]
Zheng Y, Yang S, and Cheng H An application framework of digital twin and its case study J. Ambient Intell. Humaniz. Comput. 2018 10 3 1141-1153

Cited By

View all
  • (2024)Enabling DevOps for Fog Applications in the Smart Manufacturing domainFuture Generation Computer Systems10.1016/j.future.2024.03.053157:C(360-375)Online publication date: 18-Jul-2024
  • (2021)Integrating Multi-Disciplinary Offline and Online Engineering in Industrial Cyber-Physical Systems through DevOpsProceedings of the 11th International Conference on the Internet of Things10.1145/3494322.3494328(40-47)Online publication date: 8-Nov-2021
  • (2021)The Digital Twin as a Common Knowledge Base in DevOps to Support Continuous System EvolutionComputer Safety, Reliability, and Security. SAFECOMP 2021 Workshops10.1007/978-3-030-83906-2_12(158-170)Online publication date: 7-Sep-2021

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    Published In

    cover image Guide Proceedings
    Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops: DECSoS 2020, DepDevOps 2020, USDAI 2020, and WAISE 2020, Lisbon, Portugal, September 15, 2020, Proceedings
    Sep 2020
    426 pages
    ISBN:978-3-030-55582-5
    DOI:10.1007/978-3-030-55583-2

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 15 September 2020

    Author Tags

    1. Digital twin
    2. DevOps
    3. Life cycle
    4. Cyber physical production system

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    View all
    • (2024)Enabling DevOps for Fog Applications in the Smart Manufacturing domainFuture Generation Computer Systems10.1016/j.future.2024.03.053157:C(360-375)Online publication date: 18-Jul-2024
    • (2021)Integrating Multi-Disciplinary Offline and Online Engineering in Industrial Cyber-Physical Systems through DevOpsProceedings of the 11th International Conference on the Internet of Things10.1145/3494322.3494328(40-47)Online publication date: 8-Nov-2021
    • (2021)The Digital Twin as a Common Knowledge Base in DevOps to Support Continuous System EvolutionComputer Safety, Reliability, and Security. SAFECOMP 2021 Workshops10.1007/978-3-030-83906-2_12(158-170)Online publication date: 7-Sep-2021

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