Application of faceted classification in the support of manufacturing process selection
Giess, M., McMahon, C., Booker, I. D. and Stewart, D., 2009. Application of faceted classification in the support of manufacturing process selection. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223 (6), pp. 597-608.
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Engineering designers are required to consider many factors concurrently when evolving a design, one such factor being the manufacturing process by which the product Will be realized. The selection of such a process involves filtering available processes according to the current design situation, and providing detailed information describing this subset of processes such that the engineer may further refine the design. The approach described in this paper allows an engineer to browse documented manufacturing process information through a faceted classification (FC) system. Where traditional hierarchical classifications are notably viewpoint-dependent, an FC essentially comprises concurrent classification schemes (facets). A designer may browse within and across any combination of facets of interest and make selections at any given level of granularity. The use of a classification scheme provides a degree of abstraction, useful when certain process capabilities may not be directly expressible as parameters. A software environment, Waypoint, has been developed which assists in the construction and population of the faceted scheme, supports the designer in browsing, and through which relevant documentation may be identified and retrieved. The approach is demonstrated upon process descriptions obtained from an engineering textbook, although it may be applied to any given document corpus.
|Creators||Giess, M., McMahon, C., Booker, I. D. and Stewart, D.|
|Uncontrolled Keywords||manufacturing process selection, faceted classification, information management|
|Departments||Faculty of Engineering & Design > Mechanical Engineering|
|Research Centres||Innovative Design & Manufacturing Research Centre (IdMRC)|
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