Modeling and analysis of functional variance of complex technical systems

DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

Year: 2022
Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author: Bastian Menninger (1), Dominik Wiechel (2), Sascha Rackow (3), Gregor Höpfner (1), Christian Oleff (2), Joerg Berroth (1), Iris Gräßler (2), Georg Jacobs (1)
Series: DfX
Institution: (1) Institute for Machine Elements and Systems Engineering, RWTH Aachen University; (2) Heinz Nixdorf Institute, Chair for Product Creation, Paderborn University; (3) CLAAS Industrietechnik GmbH
Page(s): 10
DOI number: 10.35199/dfx2022.15


Complexity of variances in systems leads to challenges in structuring and in making development decisions. Models can collect system information to make them available and transparent. Currently, no approach to model the variance of systems along relevant engineering artifacts exists. This research aims to develop a consistent variant modeling approach: In a literature review (1), relevant approaches in model-based variant management are identified to derive requirements for variant modelling (2). Based on the requirements, approaches are evaluated in a matrix (3). Since no approach satisfies all requirements, one approach is extended (4). For evaluation purpose (5), applicability of the approach is demonstrated and assessed by experts. The result is a modeling method for variant modeling.


Model-Based Systems Engineering, Variants, function-oriented Complexity


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