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Architecting Digital Twin-Driven Transformation in the Refrigeration and Air Conditioning Sector

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Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 54))

Abstract

Digital twins are a key pillar of the ongoing industrial revolution requiring a strategy tailored for each sector of the economy. However, contributions addressing the sectoral level of analysis are still nascent in the digital twin literature. This paper has a dual research objective of (1) identifying the digital twin potential at a sectoral level of analysis and (2) investigating whether the existent Enterprise Architectures (EA) approaches and languages meet the requirements for the creation of digital twin architectures. A design science research project was conducted in a leading business association representing the Refrigeration and Air Conditioning Sector (RACS). Our findings reveal that RACS digital twins will need to address the grand challenges of climate change and sustainability. Moreover, the digital twin-driven transformation of RACS will be more effective in cooperation between different supply chain segments, increasing the importance of business associations’ role in the definition of reference architectures for their sector. Our results also extend recent research suggesting the use of ArchiMate language for digital twin developments. This contribution is relevant to sectoral digital transformations supported by digital twin technology, providing the foundations for future sectoral enterprise architecture frameworks.

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References

  1. Negri, E., Fumagalli, L., & Macchi, M. (2017). A Review of the roles of digital twin in CPS-based Production systems. Procedia Manufacturing, 11, 939–948. https://doi.org/10.1016/j.promfg.2017.07.198

    Article  Google Scholar 

  2. Vering, C., Nürenberg, M., Mehrfeld, P., Coakley, D., Lauster, M., & Mueller, D. (2019). Unlocking Potentials of building energy systems’ operational efficiency: Application of digital twin design for HVAC systems. https://doi.org/10.26868/25222708.2019.210257

  3. Zhang, H., Ma, L., Sun, J., Lin, H., & Thürer, M. (2019). Digital twin in services and industrial product service systems: Review and analysis. Procedia CIRP, 83, 57–60. https://doi.org/10.1016/j.procir.2019.02.131

    Article  Google Scholar 

  4. Ross, J., Weill, P., & Robertson, D. C. (2006). Enterprise architecture as strategy: Creating a foundation for business execution. https://doi.org/10.1016/s0923-4748(08)00049-0

    Article  Google Scholar 

  5. Lankhorst, M. (2009). Enterprise architecture at work (vol. 352). Springer. https://doi.org/10.1007/978-3-662-53933-0

  6. TOGAF. (2018, May 4). The Open Group website. https://www.opengroup.org/togaf

  7. ArchiMate® 3.1 Specification. (n.d.). https://pubs.opengroup.org/architecture/archimate3-doc/

  8. Aldea, A., Iacob, M.-E., Wombacher, A., Hiralal, M., & Franck, T. (2018). Enterprise Architecture 4.0—A Vision, an approach and software tool support. In 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC) (pp. 1–10). https://doi.org/10.1109/EDOC.2018.00011

  9. Uysal, M. P., & Mergen, A. E. (2021). Smart manufacturing in intelligent digital mesh: Integration of enterprise architecture and software product line engineering. Journal of Industrial Information Integration, 22, 100202. https://doi.org/10.1016/j.jii.2021.100202

    Article  Google Scholar 

  10. Mahmoud, M. A., & Grace, J. (2019). A generic evaluation framework of smart manufacturing systems. Procedia Computer Science, 161, 1292–1299. https://doi.org/10.1016/j.procs.2019.11.244

    Article  Google Scholar 

  11. Horstkemper, D., Stahmann, P., & Hellingrath, B. (2019). Assessing the suitability of ArchiMate to model Industry 4.0 production systems. In Proceedings—2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019 (pp. 827–832). https://doi.org/10.1109/IIAI-AAI.2019.00168

  12. Ilin, I., Levina, A., Borremans, A., & Kalyazina, S. (2021). Enterprise architecture modeling in digital transformation era. In Energy management of municipal transportation facilities and transport (pp. 124–142). https://doi.org/10.1007/978-3-030-57453-6_11

  13. Agouzoul, A., Tabaa, M., Chegari, B., Simeu, E., Dandache, A., & Alami, K. (2021). Towards a digital twin model for building energy management: Case of Morocco. Procedia Computer Science, 184, 404–410. https://doi.org/10.1016/j.procs.2021.03.051

    Article  Google Scholar 

  14. Lu, Q., Xie, X., Parlikad, A. K., & Schooling, J. M. (2020). Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance. Automation in Construction, 118, 103277. https://doi.org/10.1016/j.autcon.2020.103277

    Article  Google Scholar 

  15. Jiang, Z., Guo, Y., & Wang, Z. (2021). Digital twin to improve the virtual-real integration of industrial IoT. Journal of Industrial Information Integration, 22, 100196. https://doi.org/10.1016/j.jii.2020.100196

    Article  Google Scholar 

  16. van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

    Article  Google Scholar 

  17. He, B., & Bai, K.-J. (2021). Digital twin-based sustainable intelligent manufacturing: A review. Advances in Manufacturing, 9(1), 1–21. https://doi.org/10.1007/s40436-020-00302-5

    Article  Google Scholar 

  18. Veasey, P. (2001). Use of enterprise architectures in managing strategic change. Business Process Management Journal, 7, 420–436. https://doi.org/10.1108/14637150110406803

    Article  Google Scholar 

  19. Federal Enterprise Architecture Framework. (n.d.). https://www.cms.gov/Research-Statistics-Data-and-Systems/CMS-Information-Technology/EnterpriseArchitecture/FEAF

  20. DODAF—DOD Architecture Framework Version 2.02—DOD Deputy Chief Information Officer. (n.d.). https://dodcio.defense.gov/library/dod-architecture-framework/

  21. Zachman, J. A. (n.d.). The concise definition of the Zachman framework by: John A. Zachman. https://www.zachman.com/about-the-zachman-framework

  22. Vanauer, M., Böhle, C., & Hellingrath, B. (2015). Guiding the introduction of big data in organizations: A methodology with business- and data-driven ideation and enterprise architecture management-based implementation. In 2015 48th Hawaii International Conference on System Sciences (pp. 908–917). https://doi.org/10.1109/HICSS.2015.113

  23. Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. https://doi.org/10.5281/ZENODO.1336426

  24. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75. https://doi.org/10.2307/25148625

    Article  Google Scholar 

  25. March, S., & Smith, G. (1995). Design and natural science research on information technology. Decision Support Systems, 15, 251–266. https://doi.org/10.1016/0167-9236(94)00041-2

    Article  Google Scholar 

  26. vom Brocke, J., & Maedche, A. (2019). The DSR grid: Six core dimensions for effectively planning and communicating design science research projects. Electronic Markets, 29(3), 379–385. https://doi.org/10.1007/s12525-019-00358-7

    Article  Google Scholar 

  27. Rudskoy, A., Ilin, I., & Prokhorov, A. (2021). Digital twins in the intelligent transport systems. Transportation Research Procedia, 54, 927–935. https://doi.org/10.1016/j.trpro.2021.02.152

    Article  Google Scholar 

  28. Zachman, J. A. (1999). A framework for information systems architecture. IBM Systems Journal, 38(2.3), 454–470. https://doi.org/10.1147/sj.382.0454

  29. Kyriakopoulos, G., Solovev, D., Kuzora, S., & Terziev, V. (2020). Exploring research methods and dynamic systems toward economic development: An overview (pp. 1–29). https://doi.org/10.1007/978-981-15-2244-4_1

  30. Lee, C.-H., Liu, C.-L., Trappey, A. J. C., Mo, J. P. T., & Desouza, K. C. (2021). Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery. Advanced Engineering Informatics, 50, 101428. https://doi.org/10.1016/j.aei.2021.101428

    Article  Google Scholar 

  31. Aldea, A., Iacob, M., Hillegersberg, J., Quartel, D., Bodenstaff, L., & Franken, H. (2015). Modelling strategy with ArchiMate. https://doi.org/10.1145/2695664.2699489

    Article  Google Scholar 

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Acknowledgements

The authors are grateful for the collaboration of APIRAC in this study. This work was partially supported by national funds through the FCT—Foundation for Science and Technology, I.P., within the scope of the project CISUC-UID/CEC/00326/2020 and by European Social Fund, through the Regional Operational Program Centro 2020.

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Correspondence to Carolina Bandeira .

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Bandeira, C., Barata, J., Roque, N. (2022). Architecting Digital Twin-Driven Transformation in the Refrigeration and Air Conditioning Sector. In: Kumar, V., Leng, J., Akberdina, V., Kuzmin, E. (eds) Digital Transformation in Industry . Lecture Notes in Information Systems and Organisation, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-030-94617-3_2

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