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Design Science Journal
Papers

Computer Aided Size Range Development - Data Mining vs. Optimization

Computer Aided Size Range Development - Data Mining vs. Optimization

Year: 2009

Section: Product and Systems Design

Editor: Norell Bergendahl, M.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U.

Author: Kipp, Thomas; Krause, Dieter

Section: Product and Systems Design

Pages: 179-190

Abstract

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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ds conferenceICED09: 17th International Conference on Engineering Design

The Design Society and the Stanford Center for Design Research cordially invite you to participate in the International Conference on Engineering Design, ICED'09. The venue will be Stanford University’s verdant campus in the heart of Silicon Valley, a short 35 miles south of San Francisco, California. Research papers and case studies are solicited on any topic related to design thinking, theory, and practice, with a premium placed on evidence-based research. Topics and Themes include: *...

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