Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Concurrent Engineering
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (5)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Wang, C.-B.
Right arrow Articles by Chu, H.-C.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Knowledge Refinement for Engineering Knowledge Management

Chin-Bin Wang

Nan-Hua University, Chia-Yi, Taiwan, ROC

Yuh-Jen Chen

Yuh-Min Chen

National Cheng Kung University, Tainan, Taiwan, ROC

Hui-Chuan Chu

Hui-Chuan Chu, National University of Tainan, Tainan, Taiwan, ROC

Engineering design is a knowledge-intensive process, including conceptual design, detailed design, engineering analysis, assembly design, process design, and performance evaluation. Each of these tasks involves various aspects of knowledge and experience. They are the most valuable sources for capitalizing enterprise knowledge and know-how on building enterprise memory, which may become part of enterprise assets. Therefore, capturing and representing product design information, design intents, and underlining design knowledge for later reuse is the basis of and one of the key tasks in engineering knowledge management.

This study develops an approach for engineering knowledge refinement to facilitate engineering knowledge management. This approach is basically a refinement process that includes the steps of knowledge capture, knowledge representation and storage, and knowledge compilation. This study involves the development of a semantic graph for describing product-related information, design intent and know-how, a tag-based scheme for representing various types of captured product information and engineering knowledge, a case-based representation for a designed entity, and the design of a knowledge compilation model and algorithm.

The objective of this study can be achieved by performing the following tasks: (i) developing an engineering knowledge management framework, (ii) establishing an engineering knowledge refinement process, (iii) developing levels of knowledge representation schemes, and(iv) implementing engineering knowledge refinement mechanisms.

Key Words: knowledge refinement • knowledge management • engineering design

Concurrent Engineering, Vol. 13, No. 1, 43-56 (2005)
DOI: 10.1177/1063293X05051773


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Concurrent EngineeringHome page
M. Yoshimura
System Design Optimization for Product Manufacturing
Concurrent Engineering, December 1, 2007; 15(4): 329 - 343.
[Abstract] [PDF]