Improved Output in Modular Function Deployment Using Heuristics

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: Borjesson, Fredrik S.
Series: ICED
Section: Product and Systems Design
Page(s): 1-12


In Modular Function Deployment, technical solutions are grouped into modules according to the product properties and the strategic intentions of the company. Statistical methods such as hierarchical clustering are useful in the formation of potential modules, but a significant amount of manual adjustment and application of engineering common sense is generally necessary. We propose a method for promoting better output from the clustering algorithm used in the conceptual module generation phase by adding Convergence Properties, a collective reference to data identified as option properties, geometrical information, flow heuristics, and module driver compatibility. The method was tested in a case study based on a cordless handheld vacuum cleaner.

Keywords: modular products, Modular Function Deployment, module drivers, clustering algorithm, heuristic methods


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