Computer Aided Size Range Development - Data Mining vs. Optimization

DS 58-4: Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 4, Product and Systems Design, Palo Alto, CA, USA, 24.-27.08.2009

Year: 2009
Editor: Norell Bergendahl, M.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U.
Author: Kipp, Thomas; Krause, Dieter
Series: ICED
Section: Product and Systems Design
Page(s): 179-190


Due to the growing number of demanded product variants, product family design gets more and more in the focus of research. Beside the development of advantageous product family structures the definition of size ranges is an important aspect of this topic. This contribution analyzes, which data mining and optimization methods are useful to support the definition of size ranges and how these methods can be applied to this task. Finally on basis of two practical examples it is examined, if these methods are useful to adapted size ranges better to customer demands and therefore help to reduce undesired overdesign.

Keywords: Product family design, size ranges, Cluster Analysis, Evolutionary Algorithms


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