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USING A CROSS-DOMAIN PRODUCT MODEL TO SUPPORT ENGINEERING CHANGE MANAGEMENT

Published online by Cambridge University Press:  11 June 2020

R. Wilms*
Affiliation:
Technische Universität Braunschweig, Germany Volkswagen AG, Germany
P. Kronsbein
Affiliation:
Technische Universität Braunschweig, Germany
D. Inkermann
Affiliation:
Technische Universität Clausthal, Germany
T. Huth
Affiliation:
Technische Universität Braunschweig, Germany
M. Reik
Affiliation:
Volkswagen AG, Germany
T. Vietor
Affiliation:
Technische Universität Braunschweig, Germany

Abstract

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Engineering changes (ECs) and engineering change management (ECM) are crucial for successful product design processes (PDP). Due to the increasing complexity of today's products (like vehicles) and the interaction of different engineering domains (mechanics, electric/electronics, software) involved in the PDP, cross-domain EC impact assessments as well as processes are required. To better support engineers in assessing change propagation across domains and products, existing approaches for ECM product models are analyzed in this paper and an enhanced product model is derived using MBSE.

Type
Article
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), 2020. Published by Cambridge University Press

References

Albers, A., Bursac, N. and Wintergerst, E. (2015), “Produktgenerationsentwicklung: Bedeutung und Herausforderungen aus einer entwicklungsmethodischen Perspektive”, Stuttgarter Symposium für Produktentwicklung 2015, Stuttgart.Google Scholar
Browning, T.R. (2016), “Design Structure Matrix Extensions and Innovations: A Survey and New Opportunities”, IEEE transactions on engineering management, Vol. 63 No. 1, pp. 2752. https://doi.org/10.1109/TEM.2015.2491283CrossRefGoogle Scholar
Clarkson, P.J., Keller, R. and Eckert, C.M. (2005), “Multiple Views to Support Engineering Change Management for Complex Products”, 3rd International Conference on Coordinated & Multiple Views in Exploratory Visualization - CMV 2005, London. https://doi.org/10.1109/CMV.2005.20Google Scholar
Clarkson, P.J., Simons, C. and Eckert, C.M. (2001), “Predicting Change Propagation in Complex Design”, 2001 ASME Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Pittsburgh.CrossRefGoogle Scholar
Danilovic, M. and Browning, T.R. (2007), “Managing complex product development projects with design structure matrices and domain mapping matrices”, International Journal of Project Management, Vol. 25 No. 3, pp. 300314. https://doi.org/10.1016/j.ijproman.2006.11.003CrossRefGoogle Scholar
Delligatti, L. (2013), SysML Distilled: A Brief Guide to the Systems Modeling Language, 1st ed, Addison-Wesley.Google Scholar
Dori, D. (2016), Model-Based Systems Engineering with OPM and SysML, Springer New York, New York, NY. https://doi.org/10.1007/978-1-4939-3295-5CrossRefGoogle Scholar
Feldhusen, J. and Grote, K.-H. (2013), Pahl/Beitz Konstruktionslehre, Springer, Berlin Heidelberg, https://doi.org/10.1007/978-3-642-29569-0CrossRefGoogle Scholar
Flanagan, T.L. et al. (2003), “A functional analysis of change propagation”, International Conference On Engineering Design - ICED 2003, Stockholm.Google Scholar
Haberfellner, R. et al. (2019), Systems Engineering, Springer International Publishing, Cham., https://doi.org/10.1007/978-3-030-13431-0CrossRefGoogle Scholar
Jarratt, T., Eckert, C.M. and Clarkson, P.J. (2004a), “Development of a product model to support engineering change management”, International Symposium on Tools and Methods for Concurrent Engineering 2004, Lausanne.Google Scholar
Jarratt, T. et al. (2004b), “Visualization Techniques for Product Change and Product Modelling in Complex Design”, International Conference on Theory and Application of Diagrams 2004, Cambridge. https://doi.org/10.1007/978-3-540-25931-2_47CrossRefGoogle Scholar
Keller, R. et al. (2005), “Visualising Change Propagation”, International Conference On Engineering Design - ICED 2005, Melbourne.Google Scholar
Koh, E.C.Y., Caldwell, N.H.M. and Clarkson, P.J. (2012), “A method to assess the effects of engineering change propagation”, Research in Engineering Design, Vol. 23 No. 4, pp. 329351. https://doi.org/10.1007/s00163-012-0131-3CrossRefGoogle Scholar
Lindemann, U., Maurer, M. and Braun, T. (2009), Structural Complexity Management: An Approach for the Field of Product Design, Springer-Verlag, Berlin Heidelberg. https://doi.org/10.1007/978-3-540-87889-6CrossRefGoogle Scholar
Walden, D.D. et al. (2017), INCOSE Systems Engineering Handbuch, 1st ed., GfSE Verlag, München.Google Scholar
Wilms, R. et al. (2019), “Identifying Cross-Domain Linkage Types to Support Engineering Change Management and Requirements Engineering”, 29th CIRP Design Conference, Portugal, Póvoa de Varzim. https://doi.org/10.1016/j.procir.2019.04.224CrossRefGoogle Scholar
Yildirim, U. and Campean, F. (2013), “An Enhanced Interface Analysis Method for Engineering Change Management”, In: Abramovici, M. and Stark, R. (Eds.), Smart Product Engineering, Springer-Verlag, Berlin Heidelberg, pp. 191200. https://doi.org/10.1007/978-3-642-30817-8_19CrossRefGoogle Scholar