NDLI: Manufacturing Knowledge Subject Mining and Ranking for Mass Customization

Content Provider	IEEE Xplore Digital Library
Author	Xinsheng Xu Xin Cheng Zhengxiang Li
Copyright Year	2009
Abstract	Knowledge-based engineering has been recognized as an effective means to implement mass customization. This paper focuses on the mining and ranking of manufacturing documents to identify manufacturing knowledge with subject in order to support mass customization production effectively. With this view, a kind of manufacturing knowledge model based on manufacturing feature for mass customization was presented. A two-step procedure for manufacturing document was proposed namely subject mining and ranking. Manufacturing knowledge subject mining was performed through the processes of sample knowledge training, analyzing to unknown subject document, and subject similarity analysis and classification. At the same time, similarity measure for manufacturing feature attribute and feature manufacturing process term was formulated including similarity matrix and hybrid space vector model and so on. Then manufacturing knowledge subject mining flow was presented as well. Manufacturing knowledge ranking is to reorder manufacturing knowledge sequence by match priority within a subject based on their successful usage status so as to improve the reasonability of manufacturing knowledge utilization. Finally, we illustrate our approach with examples.
Starting Page	354
Ending Page	359
File Size	244962
Page Count	6
File Format	PDF
ISBN	9781424438358
DOI	10.1109/AICI.2009.495
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Mass customization Pulp manufacturing Ontologies Knowledge management Manufacturing industries Mining Manufacturing processes Ranking Product development Performance analysis Virtual manufacturing Manufacturing knowledge subject
Content Type	Text
Resource Type	Article

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