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Identification of Property Change Impacts Based on Requirements-Oriented, Multi-Criteria Decision Models

Published online by Cambridge University Press:  26 May 2022

D. Horber*
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
B. Schleich
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
S. Wartzack
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Abstract

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As an outcome of the multi-criteria evaluation of different alternatives, product developers receive information on whether the evaluation alternatives meet the demanded property profile. If not, product characteristic and property changes are required, which can have desired and undesired effects. This contribution presents an MBSE-based approach, which extends the relational requirement model by value functions and product properties. Its novelty can be found in the integration of multi-criteria decision models, which are used to improve alternatives based on property change impact analyses.

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), 2022.

References

Breiing, A. and Knosala, R. (1997), Bewerten technischer Systeme: Theoretische und methodische Grundlagen bewertungstechnischer Entscheidungshilfen, Springer Verlag, Berlin. 10.1007/978-3-642-59229-4.Google Scholar
Carroll, E.R. and Malins, R.J. (2016), Systematic Literature Review: How is Model-Based Systems Engineering Justified?, Sandia National Laboratories, Albuquerque, USA. 10.2172/1561164.Google Scholar
Clarkson, P.J., Simons, C. and Eckert, C. (2004), “Predicting Change Propagation in Complex Design”, Journal of Mechanical Design, Vol. 126 No. 5, pp. 788797. 10.1115/1.1765117.Google Scholar
Conrad, J., Deubel, T., Köhler, C., Wanke, S. and Weber, C. (2007), “Change Impact and Risk Analysis (CIRA) – Combining the Cpm/Pdd Theory and Fmea-Methodology for An Improved Engineering Change Management”. In: Proceedings of the 16th International Conference on Engineering Design. ICED 2007, Paris, France, 28.-31.07.2007, The Design Society, Glasgow.Google Scholar
Eisenführ, F., Weber, M. and Langer, T. (2010), Rationales Entscheiden, 5., überarbeitete und erweiterte Auflage, Springer, Berlin, Heidelberg. 10.1007/978-3-642-02849-6.CrossRefGoogle Scholar
Götz, S., Horber, D., Schleich, B. and Wartzack, S. (2021), “Simultaneous Definition of Key Characteristics in Order to Facilitate Robust Design in Early Product Development Stages”, In: Proceedings of the 23rd International Conference on Engineering Design. ICED21, 16.-20.08.2021, Gothenburg. Sweden.Google Scholar
Hamraz, B., Caldwell, N.H.M. and Clarkson, P.J. (2013), “A Holistic Categorization Framework for Literature on Engineering Change Management”, Systems Engineering, Vol. 16 No. 4, pp. 473505. 10.1002/sys.21244.Google Scholar
Henderson, K. and Salado, A. (2021), “Value and benefits of model-based systems engineering (MBSE): Evidence from the literature”, Systems Engineering, Vol. 24 No. 1, pp. 5166. 10.1002/sys.21566.CrossRefGoogle Scholar
Horber, D., Schleich, B. and Wartzack, S. (2020), “Conceptual model for (semi-) automated derivation of evaluation criteria in requirements modelling”. In: Proceedings of the 16th International Design Conference. DESIGN2020, Online-Conference, 26.-29.10.2020, Cambridge University Press, pp. 937946. 10.1017/dsd.2020.52.Google Scholar
Horber, D., Schleich, B. and Wartzack, S. (2021), “Procedure Model for Structured Relational Modeling of Requirements to Support Requirements-oriented Decision Making”, In: Proceedings of the 23rd International Conference on Engineering Design. ICED21, 16.-20.08.2021, Gothenburg. Sweden.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. 10.1007/s00163-012-0131-3.Google Scholar
Köhler, C., Conrad, J., Wanke, S. and Weber, C. (2008), “A matrix representation of the CPM/PDD approach as a means for change impact analysis”, In: Proceedings of the 10th International DESIGN Conference. DESIGN2008, 19.-22.05.2008, Dubrovnik/Kroatien.Google Scholar
Krishnan, V. and Ulrich, K.T. (2001), “Product Development Decisions: A Review of the Literature”, Management Science, Vol. 47 No. 1, pp. 121. 10.1287/mnsc.47.1.1.10668.Google Scholar
Madni, A.M. and Sievers, M. (2018), “Model-based systems engineering: Motivation, current status, and research opportunities”, Systems Engineering, Vol. 21 No. 3, pp. 172190. 10.1002/sys.21438.Google Scholar
Phadke, M.S. (1989), Quality engineering using robust design, Prentice Hall, Englewood Cliffs, NJ.Google Scholar
Ullah, I., Tang, D. and Yin, L. (2016), “Engineering Product and Process Design Changes: A Literature Overview”, Procedia CIRP, Vol. 56, pp. 2533. 10.1016/j.procir.2016.10.010.CrossRefGoogle Scholar
Weber, C. (2005), “CPM/PDD – An Extended Theoretical Approach to Modelling Products and Product Development Processes”. In: Proceedings of the 2nd German-Israeli Symposium on Advances in Methods and Systems for Development of Products and Processes. TU Berlin, Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik, 07.-08.07.2005, Fraunhofer-IRB-Verlag, Stuttgart, pp. 159179.Google Scholar
Wilking, F., Schleich, B. and Wartzack, S. (2020), “MBSE along the Value Chain. An Approach for the Compensation of additional Effort”. In: Proceedings of 15th International Conference of Systems of Systems Engineering (SoSE2020). SoSE 2020, Budapest, Hungary, 02.-04.06.2020, IEEE, pp. 6166. 10.1109/SoSE50414.2020.9130497.Google Scholar
Zhang, H., Li, J., Zhu, L., Jeffery, R., Liu, Y., Wang, Q. and Li, M. (2014), “Investigating dependencies in software requirements for change propagation analysis”, Information and Software Technology, Vol. 56 No. 1, pp. 4053. 10.1016/j.infsof.2013.07.001.Google Scholar