Handling engineering changes effectively becomes more and more important for the performance of the
overall design process. Therefore, it is crucial to assess the propagation of engineering changes precisely
to prevent unexpected workload. However, the detailed analysis of technical systems to predict possible
change propagation is often time consuming. Furthermore, the effort needed for the analysis highly
increases with a growing number of system elements. Hence, methods for the application in the industry
have to be both precise in the prediction of change propagation and extremely time efficient. This paper
therefore presents a new approach to identify change propagation by combining a matrix-based approach
of modeling interrelations with the implicit available knowledge of an expert familiar with the system.
Additionally, the system understanding is expanded by introducing artefacts. It remedies the problem of
having preliminary development results, e.g. feature specification or preliminary part lists, which also
have to be considered in the change propagation analysis. Finally, the approach is evaluated within an
industrial use case.
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Handling engineering changes effectively becomes more and more important for the performance of the
overall design process. Therefore, it is crucial to assess the propagation of engineering changes precisely
to prevent unexpected workload. However, the detailed analysis of technical systems to predict possible
change propagation is often time consuming. Furthermore, the effort needed for the analysis highly
increases with a growing number of system elements. Hence, methods f...
»