Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-06-03T11:49:21.625Z Has data issue: false hasContentIssue false
  • English
  • Français

From a Monolithic PLM Landscape to a Federated Domain and Data Mesh

Published online by Cambridge University Press:  26 May 2022

Y. Hooshmand ,
J. Resch ,
P. Wischnewski  and
P. Patil
Y. Hooshmand*
Affiliation:
Mercedes-Benz AG, Germany
J. Resch
Affiliation:
Mercedes-Benz AG, Germany
P. Wischnewski
Affiliation:
PROSTEP AG, Germany
P. Patil
Affiliation:
HCL Technologies Germany GmbH, Germany
*
yousef.hooshmand@mercedes-benz.com

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Product Lifecycle Management (PLM) is one of the most business-critical IT backbones of manufacturing companies. It often consists of numerous, rigidly interwoven monolithic applications and is seen as synonymous with costly maintenance, lack of extensibility, and poor scalability. This paper proposes an approach for transforming a monolithic PLM landscape into a federated Domain and Data Mesh. This enhances semantic interoperability and enables data-driven use cases by treating data as first-class citizens. User-centric PLM domains moreover help to increase productivity in the workplace.

Keywords

product lifecycle management (PLM)semantic modellingsoftware engineeringdata meshdomain-driven design
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 713 - 722
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

Alharthi, A.; Krotov, V.; Bowman, M. (2017), Addressing barriers to big data, Business Horizons, Volume 60, Issue 3, Pages 285–292. 10.1016/j.bushor.2017.01.002Google Scholar
Bennett, K. (1995), Legacy systems: coping with success, IEEE Software, vol. 12, no. 1, pp. 19–23. doi: 10.1109/52.363157CrossRefGoogle Scholar
Berners-Lee, T.; Hendler, J.; Lassila, O. (2001), The Semantic Web, Scientific American, vol. 284, No. 5, pp. 34–43. https://www.jstor.org/stable/26059207Google Scholar
Bisbal, J.; Lawless, D.; Wu, B.; Grimson, J. (1999), Legacy information systems: issues and directions, IEEE Software, vol. 16, no. 5, pp. 103–111. DOI: 10.1109/52.795108CrossRefGoogle Scholar
Dehghani, Zh. (2022), Data Mesh: Delivering Data-Driven Value at Scale (1.ed - preview version), O'Reilly Media, Inc.Google Scholar
Dickopf, Th. (2020), A holistic methodology for the development of cybertronic systems in the context of the Internet of Things, [PhD Thesis], Kaiserslautern. 10.2370/9783844073690Google Scholar
Eigner, M. (2021), System Lifecycle Management - Digitalisierung des Engineering, Springer Vieweg, Berlin. 10.1007/978-3-662-62183-7Google Scholar
Evans, E. (2003), Domain-Driven Design: Tackling Complexity in the Heart of Software, Boston, Addison-Wesley Professional.Google Scholar
Highsmith, J.; Luu, L.; Robinson, D. (2020), EDGE: Value-Driven Digital Transformation, Boston, Addison-Wesley.Google Scholar
Hooshmand, Y.; Adamenko, D.; Kunnen, S.; Köhler, P. (2017), An approach for holistic model-based engineering of industrial plants, 21st International Conference on Engineering Design (ICED17), Vancouver.Google Scholar
Hooshmand, Y.; Adamenko, D.; Kunnen, S.; Köhler, P. (2018), Semi-Automatic Creation of System Models based on SysML Model Libraries, INCOSE EMEA Sector Systems Engineering Conference, Berlin.Google Scholar
ISO/IEC/IEEE (2015), ISO/IEC/IEEE 15288:2015: Systems and Software Engineering - System Life Cycle Processes, International Organisation for Standardization, Geneva.Google Scholar
Narayan, S. (2018), Products Over Projects, [online]. Available at: https://martinfowler.com/articles/products-over-projects.html (accessed 05.11.2021).Google Scholar
Newman, S. (2019), Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith, O'Reilly Media, Inc.Google Scholar
Nowack, B. (2009), The Semantic Web – Not a Piece of cake…, [online]. Available at: http://bnode.org/blog/2009/07/08/the-semantic-Web-not-a-piece-of-cake (accessed 18.07.2021).Google Scholar
Pfenning, M.; Reichwein, A.; Hooshmand, Y.; Dickopf, T.; Bleisinger, O.; Psota, T.; Masior, J.; Roth, A.; Muggeo, C.; Hutsch, M. (2021), Killing the PLM Monolith – the Emergence of cloud-native System Lifecycle Management (SysLM), Fraunhofer-Publica Verlag.Google Scholar
Pfenning, M. (2017), Durchgängiges Engineering durch die Integration von PLM und MBSE, [PhD Thesis], Technical University Kaiserslautern.Google Scholar
Sneed, H.; Verhoef, Ch. (2019), Re-implementing a legacy system, Journal of Systems and Software, Volume 155, Pages 162–184. 10.1016/j.jss.2019.05.012Google Scholar
Taibi, D.; Lenarduzzi, V.; Pahl, C. (2017), Processes, Motivations, and Issues for Migrating to Microservices Architectures: An Empirical Investigation, IEEE Cloud Computing, vol. 4, no. 5, pp. 22–32. DOI: 10.1109/MCC.2017.4250931Google Scholar
Vernon, V. (2016), Domain-Driven Design Distilled, Boston, Addison-Wesley Professional.Google Scholar
W3C (2015), Semantic Web - Leading the web to its full potential, [online]. Available at: https://www.w3.org/standards/semanticweb (accessed 18.07.2021).Google Scholar