Improved Output in Modular Function Deployment Using Heuristics
2009 (English)In: Proceedings of the 17th International Conference on Engineering Design (ICED’09), Vol. 4, 2009, 1-12 p.Conference paper (Refereed)
In Modular Function Deployment, technical solutions are grouped into modules according tothe product properties and the strategic intentions of the company. Statistical methods such ashierarchical clustering are useful in the formation of potential modules, but a significantamount of manual adjustment and application of engineering common sense is generallynecessary. We propose a method for promoting better output from the clustering algorithmused in the conceptual module generation phase by adding Convergence Properties, acollective reference to data identified as option properties, geometrical information, flowheuristics, and module driver compatibility. The method was tested in a case study based on acordless handheld vacuum cleaner.
Place, publisher, year, edition, pages
2009. 1-12 p.
Conceptual product development, modular products, Modular Function Deployment, module drivers, clustering algorithm, hierarchical clustering, statistical approach, heuristic methods
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-96487ISI: 000302735800001ScopusID: 2-s2.0-84859254254ISBN: 9-781904-670087OAI: oai:DiVA.org:kth-96487DiVA: diva2:530886
17th International Conference on Engineering Design
QC 201206052012-06-052012-06-052012-09-18Bibliographically approved