A neural network based approach for product design is addressed in this article. Computer modeling, fuzzy set theory and semantic difference method are applied to set up an experiment. The experimental results are analyzed by applied back-propagation neural network, which establish the relationships
A structural component-based approach for designing product family
β Scribed by Shih-Wen Hsiao; Elim Liu
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 715 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0166-3615
No coin nor oath required. For personal study only.
β¦ Synopsis
This study presents a novel approach for establishing an intelligent support system in order to design a product family through managing variety. Two approaches are applied successively. First, the Quality Function Deployment (QFD) approach identifies the exterior drivers of design variation. Second, the Interpretive Structural Model (ISM) technique is applied to visualize the hierarchy of component interactions within a product. This approach represents the design priority and related design constraints within a product using a structural graph, helping designers to create variant design solutions in a product family for different market requests. The methodology proposed here is illustrated via the example of the design of a family of automatic drip coffee makers.
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