Keywords
lifecycle management
MBSE
PLM
CAD/CAE
Digital Thread
Digital Twin
variant and configuration management
How to Cite
Abstract
In modern mechanical engineering, the understanding of success has changed fundamentally. It is no longer enough to simply deliver technically sophisticated products today, the ability to strategically support and shape the entire life cycle of a machine is crucial. System of Systems Lifecycle management (LCM) is thus becoming a key success factor that combines technology, economic efficiency and sustainability. At its core, LCM describes the holistic control of all phases of a product from the idea to development, use and maintenance to dismantling and recycling. Especially in mechanical engineering, where systems are often in use for decades, this approach opens up enormous potential for increasing efficiency, reducing costs and boosting innovation. Current research, for example by Salehi [32] and Salehi and Witte [33], shows that the integration of digital concepts such as modelbased systems engineering (MBSE), agile methods and blockchain technologies is crucial to taking LCM to a new level. By using the Munich Agile MBSE Concept (MAGIC), complex systems can be modelled virtually in early development phases and continuously monitored via digital twins. This creates a continuous data chain that seamlessly connects the flow of information between development, production and operation. Blockchain-based architectures ensure data integrity and traceability throughout the entire life cycle an essential factor for trust and efficiency in global value creation networks. For mechanical engineering, this means a profound change: processes become more transparent, feedback loops between operations and development accelerate innovation, and ecological key figures can be precisely recorded and optimised. LCM thus becomes not only a tool for sustainability, but also a driver for new business models such as ‘machine-as-a-service’ or data-based service contracts. Ultimately, System of Systems Lifecycle management is not purely an IT system, but a management philosophy. Those who succeed in combining technological tools with organisational learning and long-term thinking will position themselves as pioneers of a digital and sustainable industry. This makes LCM the key to competitiveness, innovative strength and entrepreneurial resilience in 21st-century mechanical engineering.
References
Baïna, S., Panetto, H., & Benali, K. (2006). A product-oriented modelling concept: Holons for systems synchronisation and interoperability. ACM Digital Library. https://arxiv.org/abs/cs/0606108
Bissay, A., Pernelle, P., Lefebvre, A., & Bouras, A. (2008). Business processes integration and performance indicators in a PLM system. HAL Open Archive. https://arxiv.org/abs/0812.3715
Boulaalam, A., Nfaoui, E. H., & El Beqqali, O. (2014). Intelligent product: Mobile agent architecture integrating the end of life cycle (EOL) for minimizing the launch phase PLM. arXiv. https://arxiv.org/abs/1401.5509
Cambridge University Department of Engineering. (2024). Manufacturing and management – strategic aim. University of Cambridge. https://www.eng.cam.ac.uk/research/academic-divisions/manufacturing-and-management
Duda, J., Oleszek, S., & Santarek, K. (2022). Product lifecycle management (PLM) in the context of Industry 4.0. Procedia Manufacturing, 51, 134–141. https://doi.org/10.1016/j.promfg.2022.07.018
Dos Santos, D. S. (2020). Project lifecycle management (PLM): Evolution and state of the art. Product: Management Development, 18(1), 1–10. https://doi.org/10.4322/pmd.2019.027
Feng, Q., Ren, Y., Zeng, S.-K., & Sun, B. (2009). Ontology-based multi-view modelling for integrated product development. Journal of Computer Integrated Manufacturing Systems, 15(4), 712–718.
Forcinio, H. (2008). Going green: Environmental issues in manufacturing. Managing Automation, 22(4), 24–27.
Garcia, P. B., & Fan, I. S. (2008). Practitioner requirements for integrated knowledge-based engineering in PLM. International Journal of Product Lifecycle Management, 3(1), 1–16.
Gericke, K., Eckert, C., & Blessing, L. (2016). Investigation into current industrial practices relating to PLM in a multinational manufacturing company. International Journal of Product Lifecycle Management, 9(1), 25–44.
Golovatchev, J. D., Budde, O., & Hong, C. G. (2010). Integrated PLM process approach for the development and management of telecommunications products in a multi-lifecycle environment. International Journal of Product Lifecycle Management, 4(3), 260–277.
Gong, Y. (2024). Construction of industrial product lifecycle management system using CAD. Computer-Aided Design and Applications, 21(S13), 75–91.
Hunkeler, D., Rebitzer, G., Margni, M., & Jensen, A. A. (2003). Life cycle management. The International Journal of Life Cycle Assessment, 6(6), 384–390. https://doi.org/10.1007/BF02978944
ISO 10303. (2014). Industrial automation systems and integration — product data representation and exchange (STEP). International Organization for Standardization.
ISO/IEC 15288. (2015). Systems and software engineering — system life cycle processes. International Organization for Standardization.
Ji, X., Zhao, Y., & Chen, R. (2023). Challenges and opportunities in product life cycle management. Journal of Manufacturing Systems, 68, 34–47. https://doi.org/10.1016/j.jmsy.2023.02.006
Lee, S. G., Ma, Y.-S., Thimm, G. L., & Verstraeten, J. (2008). Product lifecycle management in aviation maintenance, repair and overhaul. Computers in Industry, 59(2–3), 296–303. https://doi.org/10.1016/j.compind.2007.06.022
Lindfors, L.-G. (2004). Minimum requirements for life cycle management. The International Journal of Life Cycle Assessment, 9(1), 45–47.
Liu, X., Chen, T., & Wang, Z. (2021). A visualization framework for product manufacturing data and information in PLM systems. Journal of Manufacturing Systems, 61, 80–92. https://doi.org/10.1016/j.jmsy.2021.07.011
Manakitsirisuthi, T., Ouzrout, Y., & Bouras, A. (2018). A multi-agent system for managing product lifecycle sustainability. arXiv. https://arxiv.org/abs/1810.13195
McKendry, D. A., Whitfield, R. I., & Duffy, A. H. B. (2021). Product lifecycle management implementation for high-value engineering-to-order programmes: An informational perspective. Journal of Industrial Information Integration, 23, 100232. https://doi.org/10.1016/j.jii.2021.100232
McKendry, D. A., Whitfield, R. I., & Duffy, A. H. B. (2022). Process considerations for PLM implementation for high-value engineering-to-order programmes. Design Science, 8, E20. https://doi.org/10.1017/dsj.2022.21
Morshedzadeh, I., Lönngren, A., & Johansson, P. (2021). Managing manufacturing data and information in product lifecycle management. Procedia CIRP, 100, 584–589. https://doi.org/10.1016/j.procir.2021.05.142
Peñaranda, N., Mejía, R., Romero, D., & Molina, A. (2010). Implementation of product lifecycle management tools using enterprise integration engineering and action-research. International Journal of Computer Integrated Manufacturing, 23(8–9), 720–732.
ResearchGate. (2025). Product lifecycle management (PLM): A decision-making tool for project management. https://www.researchgate.net/publication/353594784
Saur, K. (2001). Life-cycle engineering approach: LCA, life-cycle costing, TQM. International Journal of Life Cycle Assessment, 6(6), 370–373.
Subrahmanian, E., Rachuri, S., Fenves, S. J., Foufou, S., & Sriram, R. D. (2006). The role of standards in product lifecycle management support. NIST Interagency Report 7289. U.S. Department of Commerce.
Tarantini, M., Paolini, E., & Hunkeler, D. (2009). Holons and supply chain synchronisation in a product lifecycle context. International Journal of Life Cycle Assessment, 14(3), 197–208.
Trojanowska, J., Duda, J., & Santarek, K. (2022). PLM systems history and trends. Procedia Manufacturing, 54, 87–94. https://doi.org/10.1016/j.promfg.2022.09.011
Trotta, M. G. (2010). Product lifecycle management: Sustainability and knowledge management as keys in a complex system of product development. Journal of Industrial Engineering and Management, 3(2), 309–322.
Wang, H., Chen, L., & Zhang, Y. (2023). Digital twin and lifecycle data integration in heavy machinery. IEEE Access, 11, 110334–110349. https://doi.org/10.1109/ACCESS.2023.3305879
Salehi, V. (2024). Application of Munich Agile Concept for MBSE for a holistic approach to collect vehicle data based on board diagnostic system. In Proceedings of the 44th Computers and Information in Engineering Conference (CIE) (Vol. 2B). https://doi.org/10.1115/DETC2024-141089
Salehi, V. (2023). Application of Munich Agile Concept for MBSE-based development of automated guided robot based on digital twin-data. In Proceedings of the 43rd Computers and Information in Engineering Conference (CIE) (Vol. 2). https://doi.org/10.1115/DETC2023-110983
Salehi, V. (2021). Application of a holistic approach of hydrogen internal combustion engine (HICE) buses. In Proceedings of the Design Society. https://doi.org/10.1017/pds.2021.48
Salehi, V., & Wang, S. (2021). Application of Munich agile concepts for MBSE as a holistic and systematic design of urban air mobility in case of design of vertiports and vertistops. In Proceedings of the Design Society. https://doi.org/10.1017/pds.2021.50
Salehi, V. (2021). Integration of blockchain technology in systems engineering and software engineering in an industrial context. In Proceedings of the Design Society. https://doi.org/10.1017/pds.2021.450
Salehi, V., Taha, J., & Wang, S. (2020). Application of Munich Agile Concept for MBSE by means of automated valet parking functions and the 3D environment-data. In Proceedings of the ASME Design Engineering Technical Conference. https://doi.org/10.1115/DETC2020-22040
Salehi, V., & Wang, S. (2019). Munich Agile MBSE concept (MAGIC). In Proceedings of the International Conference on Engineering Design (ICED). https://doi.org/10.1017/dsi.2019.377
Salehi, V. (2019). Development of an agile concept for MBSE for future digital products through the entire system of systems lifecycle management called Munich Agile MBSE Concept (MAGIC). Computer-Aided Design and Applications, 17(1), 147–166. https://doi.org/10.14733/cadaps.2020.147-166
Taha, J., & Salehi, V. (2018). Development of a low-powered wireless IoT sensor network based on MBSE. In Proceedings of the IEEE International Symposium on Systems Engineering. https://doi.org/10.1109/SysEng.2018.8544420
Salehi, V., Groß, F., & Taha, J. (2018). Implementation of systems modelling language (SysML) in consideration of the CONSENS approach. In Proceedings of the International Design Conference (DESIGN). https://doi.org/10.21278/idc.2018.0146
Salehi, V., & Wang, S. (2018). Web-based visualisation of 3D factory layout from hybrid modelling of CAD and point cloud. Computer-Aided Design and Applications, 16(2), 243–255. https://doi.org/10.14733/cadaps.2019.243-255
Salehi, V., & Wang, S. (2017). Using point cloud technology for process simulation in digital factory. In Proceedings of the ICED Conference. https://portal.issn.org/resource/ISSN/2220-4342
Salehi, V., & McMahon, C. (2016). Identification of factors during the introduction and implementation of PLM methods and systems in an industrial context. In IFIP Advances in Information and Communication Technology (AICT). https://doi.org/10.1007/978-3-319-33111-9_35
Salehi, V., & Burseg, L. (2016). System-driven product development (SDPD) for mechatronic systems. In IFIP Advances in Information and Communication Technology (AICT). https://doi.org/10.1007/978-3-319-33111-9_66
Salehi, V., & McMahon, C. (2011). Development and application of an integrated approach for parametric associative CAD design in an industrial context. Computer-Aided Design and Applications, 8(2), 225–236. https://doi.org/10.3722/cadaps.2011.225-236
Salehi, V., & McMahon, C. (2011). Development of an evaluation framework for implementation of parametric associative methods in an industrial context. In Proceedings of the ICED 11 Conference (EID 2-s2.0-84858843777).
Salehi, V., & McMahon, C. (2009). Methodological integration of parametric associative CAD systems in PLM environment. In Proceedings of the ASME Design Engineering Technical Conference (DETC2009). https://doi.org/10.1115/DETC2009-86583
Salehi, V., & McMahon, C. (2009). Action research into parametric associative CAD systems in an industrial context. In Proceedings of the ICED 09 Conference (EID 2-s2.0-79957552184).
Salehi, V., & McMahon, C. (2009). Development of a generic integrated approach for parametric associative CAD systems. In Proceedings of the ICED 09 Conference (EID 2-s2.0-80054981163).
Salehi, V., & McMahon, C. (2011). An integrated approach to parametric associative design for powertrain components in the automotive industry. Action Research. Verein Deutscher Ingenieure (VDI Bayern).
Salehi, V. (2012). An integrated approach to parametric associative design for powertrain components on the automotive industry. University of Bath.
Salehi, V. (2015). Development and application of an integrated approach to CAD design in an industrial context. In Impact of Design Research on Industrial Practice: Tools, Technology, and Training.
Salehi, V., Schade, D., & Taha, J. (2015). Application of SysML in the research field of definition of the environment model for autonomous driving simulation. In Proceedings of the Design Society Conference 2015.
Salehi, V. (2025). Integration of Munich Agile Concept for MBSE in an industrial context for future centralized car server architectures. In Proceedings of the ICIEA EU Conference, Munich University of Applied Sciences, Germany.
Salehi, V. (2025). A holistic and systematic approach for generation of synthetic data sets from CAD data related CNC-production environment. In Proceedings of the ICIEA EU Conference, Munich University of Applied Sciences, Germany.
Salehi, V. (2025). Development of a parametric holistic CAD design for virtual urban air mobility concepts. In Proceedings of the ICIEA EU Conference, Munich University of Applied Sciences, Germany.
Salehi, V. (2025). Application of blockchain in case of engineering data processes and product lifecycle management system. Journal of Intelligent System of Systems Lifecycle Management. https://doi.org/10.71015/dm8rgj08
Salehi, V. (2025). Application of systems engineering in context of building 3D environment for autonomous vehicle systems in an industrial context for central car computing. Journal of Intelligent System of Systems Lifecycle Management. https://doi.org/10.71015/qgdjwx03
Salehi, V., Witte, M., & Loos, M. (2025). Integration of vehicle data file based on blockchain technologie in an industrial context. Journal of Intelligent System of Systems Lifecycle Management. https://doi.org/10.71015/yxkfke75
Salehi, V. (2015). An integrated approach for system driven product development (SDPD) by means of development of a mechatronic systems in an industrial context. ARC Conference.
Salehi, V. (2015). System driven product development (SDPD) by means of development of a mechatronic systems in an industrial context. IFIP Conference.