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Issue No.03 - May/June (2000 vol.15)
pp: 40-47
ABSTRACT
Contemporary product design is a knowledge intensive process undertaken by virtual teams dispersed across multiple organizations. Successful design requires contextual knowledge of the target market. Knowledge management and decision support can assist in this task. By considering AI as a form of writing, we can represent knowledge in a transparent and modifiable form, which better supports the multiplicity of contexts required in real design. We have implemented a web-based decision support tool, WebCADET, to assist designers in conceptual design evaluation. WebCADET is based upon a knowledge server architecture and has three modes of operation: Design Guidance, Knowledge Viewing and Knowledge Capture. Four WebCADET servers have been deployed at different locations for various applications. Future directions for WebCADET are indicated.
INDEX TERMS
artificial intelligence, decision support, design, Internet, knowledge management, new product design, World Wide Web
CITATION
Nicholas H.M. Caldwell, P. John Clarkson, Paul A. Rodgers, Avon P. Huxor, "Web-Based Knowledge Management for Distributed Design", IEEE Intelligent Systems, vol.15, no. 3, pp. 40-47, May/June 2000, doi:10.1109/5254.846284
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