Abstract
In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.
Original language | English (US) |
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Pages (from-to) | 316-328 |
Number of pages | 13 |
Journal | Journal of Computing and Information Science in Engineering |
Volume | 4 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2004 |
Externally published | Yes |
Keywords
- Data Mining
- Generic Bills of Material (GBOM)
- Tree Mining
- Variant Design
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Industrial and Manufacturing Engineering