Modellbasiertes und visuelles Änderungsmanagement/Model-based and visual change management – Interdisciplinary collaboration on digital twins with advanced systems engineering

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Cover of Volume: wt Werkstattstechnik online Volume 114 (2024), Issue 06
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wt Werkstattstechnik online

Volume 114 (2024), Issue 06

Authors:
Publisher
VDI fachmedien, Düsseldorf
Copyright Year
2024
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Chapter information

Open Access Full access

Volume 114 (2024), Issue 06

Modellbasiertes und visuelles Änderungsmanagement/Model-based and visual change management – Interdisciplinary collaboration on digital twins with advanced systems engineering

Authors:
ISSN-Print
1436-4980
ISSN-Online
1436-4980
Preview:

Ever more complex technical systems increase the number of disciplines involved and the complexity of product development. The proposed method is intended to help identify the impact of changes and the interdisciplinary development of an optimal solution. To this end, the solution elements industrial metaverse, digital twin and advanced systems engineering are combined. It is exemplified on change management as a use case.

Bibliography

  1. [1] Dumitrescu, R.; Albers, A.; Riedel, O. et al.: Engineering in Deutschland ‐ Status quo in Wirtschaft und Wissenschaft: Ein Beitrag zum Advanced Systems Engineering. Stand: 2021. Internet: www.acatech.de/publikation/engineering-in-deutschland/. Zugriff am 14.06.2024 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  2. [2] Stark, R.; Anderl, R.; Thoben, K.-D. et al.: WiGeP-Positionspapier: „Digitaler Zwilling“. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 115 (2020) s1, S. 47–50 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  3. [3] Friedenthal, S.; Moore, A.; Steiner, R.: A Practical Guide to SysML: The Systems Modeling Language. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc 2014 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  4. [4] Riedel, O.; Kürümlioglu, M.; Schneider, B.: Advanced Systems Engineering. In: Riedel, O.; Hölzle, K.; Schlund, S. et al. (Hrsg.): Handbuch Unternehmensorganisation. Heidelberg: Springer 2020, S. 1–24 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  5. [5] Wingert, B.; Bues, M.; Hofmann, J. et al.: Co-located collaborative Virtual Reality to accelerate the engineering process. 27th International Conference on Production Research, Cluj-Napoca, Romania, 2023 (noch nicht veröffentlicht) Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  6. [6] Langer, S.; Wilberg, J.; Maier, A. et al.: Änderungsmanagement-Report 2012: Studienergebnisse zu Ursachen und Auswirkungen, aktuellen Praktiken, Herausforderungen und Strategien in Deutschland. Stand: 2012. Internet: https://orbit.dtu.dk/files/8168288/ _nderungsmanagement_Report_2012_Germany.pdf. Zugriff am 14.06.2024 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  7. [7] Hamraz, B.; Caldwell, N. H. M.; Clarkson, P. J.: A Holistic Categorization Framework for Literature on Engineering Change Management. Systems Engineering 16 (2013) 4, pp. 473–505 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  8. [8] Martin, A.; Kaspar, J.; Pfeifer, S. et al.: Advanced Engineering Change Impact Approach (AECIA) – Towards a model-based approach for a continuous Engineering Change Management. 2022 IEEE International Symposium on Systems Engineering (ISSE), Vienna, Austria, 2022, pp. 1–7 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  9. [9] Tryczak, J.; Lis, A.; Ziemiański, P. et al.: Towards a Universal Model of Engineering Change Management. Journal of the Knowledge Economy (2023), doi.org/10.1007/s13132–023–01576–3 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  10. [10] Meißner, M.; Jacobs, G.; Jagla, P. et al.: Model based systems engineering as enabler for rapid engineering change management. Procedia CIRP 100 (2021), pp. 61–66 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  11. [11] Nonsiri, S.; Coatanea, E.; Bakhouya, M. et al.: Model-based approach for change propagation analysis in requirements. 2013 7th Annual IEEE Systems Conference (SysCon), Orlando, FL, 2013, pp. 497–503 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  12. [12] Bitkom e. V. (Hrsg.): Industrial Metaverse. Use Cases, Mehrwerte und Potenziale für den Wirtschaftsstandort Deutschland. Stand: 2023. Internet: www.bitkom.org/sites/main/files/2023–09/bitkom-leitfaden-industrial-metaverse.pdf. Zugriff am 14.06.2024 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  13. [13] Bayro, A.; Ghasemi, Y.; Jeong, H.: Subjective and Objective Analyses of Collaboration and Co-Presence in a Virtual Reality Remote Environment. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Christchurch, New Zealand, 2022, pp. 485–487 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6
  14. [14] Kattner, N.; Wang, T.; Lindemann, U.: Performance metrics in engineering change management – Key Performance Indicators and engineering change performance levels. 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, 2016, pp. 1180–1184 Open Google Scholar DOI: 10.37544/1436-4980-2024-06-6

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