Hostname: page-component-857557d7f7-8wkb5 Total loading time: 0 Render date: 2025-12-09T12:25:40.548Z Has data issue: false hasContentIssue false
  • English
  • Français

Munich Agile MBSE Concept (MAGIC)

Part of: Systems Engineering

Published online by Cambridge University Press:  26 July 2019

Vahid Salehi  and
Shirui Wang

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.

Model-based systems engineering (MBSE) is well-known in gaining the control over the complexity of systems and the development processes, while agile is a project management methodology originally from software development that uses short development cycles to focus on continuous improvement in the development of a product or service. In this paper, we adopt the concept of agile into MBSE and then proposed the new approach - Munich Agile MBSE Concept (MAGIC). The highlights of the MAGIC approach can be concluded as 1) the requirements which have been defined in the first stage will be examined and traced at each following stages; 2) communication between every 2 stages always exists in order to have a close connection during each system development phase; 3) the idea of Industry 4.0 has been included and reflected to achieve automation and data exchange with manufacturing technologies; 4) the concept of IOT (Internet of Things) is also considered when it comes to the usage and service of the system to satisfy the customer's needs; 5) the whole spirit of agile is reflected as the iterative and incremental design and development

Keywords

Systems Engineering (SE)Product modelling / modelsVirtual Engineering (VE)

Information

Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 3701 - 3710
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) 2019

References

Albers, A., Bursac, N., Margot Eckert, C., Walter, B., Wilmsen, M. and Heimicke, J. (2018), Agile Method Development: A live-lab Case Study on Product Properties for Process Planning, pp. 713–724. https://doi.org/10.21278/idc.2018.0341Google Scholar
Anderl, R., Eigner, M., Sendler, U. and Stark, R. (2012), Smart Engineering – Interdisziplinäre Produktentstehung – acatech DISKUSSION.Google Scholar
Soon, B.K., Chung, S., Choh, Y. and Dupuis, M. (2013), A grounded theory analysis of modern web applications: knowledge, skills, and abilities for DevOps. https://doi.org/10.1145/2512209.2512229Google Scholar
Bender, K. (2005), Embedded Systems - qualitätsorientierte Entwicklung, Springer-Verlag, Berlin, Heidelberg. https://doi.org/10.1007/b138984Google Scholar
Brown, T. and Wyatt, J. (2010), “Design Thinking for Social Innovation IDEO”, Development Outreach, Vol. 12 No. 1, pp. 29–43. https://doi.org/10.1596/1020-797X_12_1_29Google Scholar
Cao, L. and Ramesh, B. (2007), “Agile software development: Ad hoc practices or sound principles?”, IT professional, Vol. 9 No. 2, pp. 41–47. https://doi.org/10.1109/MITP.2007.27Google Scholar
Eigner, M., Gilz, T. and Zafirov, R. (2012), Interdisziplinäre Produktentwicklung - Modellbasiertes Systems Engineering. [online] PLM portal. Available at: https://www.plmportal.org/de/forschungdetail/interdisziplinaere-produktentwicklung-modellbasiertes-systems-engineering.html (accessed 12.07.2018).Google Scholar
Eigner, M. and Roubanov, D. (2014), Modellbasierte virtuelle Produktentwicklung, Springer Vieweg. https://doi.org/10.1007/978-3-662-43816-9Google Scholar
Estefan, J.A. (2008), Survey of Model-Based Systems Engineering (MBSE) Methodologies, INCOSE. Available at: www.omgsysml.org/MBSE_Methodology_Survey_RevB.pdf (Accessed 13.11.2017)Google Scholar
Friedenthal, S., Moore, A. and Steiner, R. (2009), A practical guide to SysML, The systems modeling language, 3th Edition, Morgan Kaufmann, Waltham. https://doi.org/10.1016/c2013-0-14457-1Google Scholar
Graessler, I., Hentze, J. and Bruckmann, T. (2018), V-Models for Interdisciplinary Systems Engineering, International Design Conference - Design. https://doi.org/10.21278/idc.2018.0333Google Scholar
Hooshmand, Y., Adamenko, D., Kunnen, S. and Köhler, P. (2017), “An approach for holistic model-based engineering of industrial plants”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vancouver, Canada, 21.-25.08.2017, Vol. 3: Product, Services and Systems Design.Google Scholar
INCOSE (2015), INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, 4th Edition, John Wiley & Sons, Inc., Hoboken, New Jersey.Google Scholar
ISO 9000 (2015), Quality management systems - fundamentals and vocabulary, 4th edition, ISO Copyright office, Geneva.Google Scholar
ISO/IEC TS 24748-1 (2016), Systems and software engineering – Life cycle management – Part 1: Guidelinesb for life cycle management ISO Copyright office, Geneva.Google Scholar
Kaufmann, U. and Schuler, R. (2016), “Systems Re-Engineering - ein Beitrag zur Integration von MBSE und PLM”, Tag des Systems Engineering, Herzogenaurach, München, 25.-27. October 2016, Hanser Verlag, pp. 343–352. https://doi.org/10.3139/9783446451414Google Scholar
Kleiner, S. and Husung, S. (2016), “Model Based Systems Engineering: Prinzipen, Anwendung, Beispiele, Erfahrung und Nutzen aus Praxissicht”, Tag des Systems Engineering, Herzogenaurach, München, 25.-27. October 2016, Hanser Verlag, pp. 13–22. https://doi.org/10.3139/9783446451414Google Scholar
Kößler, J. and Paetzold, K. (2017), “Integration of MBSE into existing development processes - expectations and challenges”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vancouver, Canada, 21.-25.08.2017, Vol. 3: Product, Services and Systems Design.Google Scholar
Lindlöf, L. and Furuhjelm, J. Agile beyond software - a study of a large scale initiative international design conference, DESIGN 2018. https://doi.org/10.21278/idc.2018.0411Google Scholar
Salehi, V. and Mcmahon, C. (2009), “Action Research into the use of parametric associative CAD systems in an industrial context”, International Conference on Engineering Design, ICED'09, Stanford, CA, USA, 24 - 27 August 2009, Stanford University.Google Scholar
Salehi, V. and Mcmahon, C. (2009), “Development of a Generic Integrated Approach for Parametric Associative CAD Systems”, International Conference on Engineering Design, ICED'09, Stanford, CA, USA, 24 - 27 August 2009, Stanford University.Google Scholar
Salehi, V. and Mcmahon, C. (March 2011), “Development and Application of an Integrated Approach for Parametric Associative CAD Design in an Industrial Context”, Journal paper, Computer Aided Design and application, Vol. 8 No. 2, pp. 225–236.Google Scholar
Salehi, V. and Mcmahon, C. (2011), “Development of an evaluation framework for implementation of parametric associative methods in an industrial context”, International Conference on Engineering Design, ICED'11, Copenhagen, Denmark, August 2011, DTU University.Google Scholar
Salehi, V. and Wang, S. (2017), “Using point cloud technology for process simulation in the context of digital factory based on a systems engineering integrated approach”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vancouver, Canada, 21.- 25.08.2017, Vol. 3: Product, Services and Systems Design.Google Scholar
Salehi, V., “Model Based Systems Engineering (MBSE) as a holistic Approach and Enabler for Autonomous Driving Systems,” Hochschule für Angewandte Wissenschaften München, 2018.Google Scholar
Salehi, V., Florian, G. and Taha, J. (2018), “Implementation of Systems Modelling Language (SysML) in Consideration of the CONSENS Approach”, Proceedings of the DESIGN 2018 15th International Design Conference, pp. 2987–2998. http://doi.org/10.21278/idc.2018.0146Google Scholar
VDI (2004), VDI 2206 - Design methodology for mechatronic systems, The Association of German Engineers (VDI), Düsseldorf.Google Scholar
Walden, D.D., Roedler, G.J., Forsberg, K., Hamelin, R.D. and Shortell, T.M. (2015), Systems engineering handbook: A guide for system life cycle processes and activities, 4th ed., Wiley.Google Scholar
Weilkins, T. (2008), Systems Engineering mit SysML/UML: Modellierung, Analyse, Design, dpunkt Verlag, 2nd. Edition, Heidelberg, Germany.Google Scholar
Zhang, T. and Dong, H. (2009), Human-centred design: An emergent conceptual model, Royal College of Art.Google Scholar