Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

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 Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Hu, J.
Right arrow Articles by Xiong, G.
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 Network Driven Coordination and Robust Optimization to Support Concurrent and Collaborative Parameter Design

Jie Hu

Institute of Knowledge Based Engineering, School of Mechanical Engineering Shanghai Jiao Tong University, Shanghai, 200240, PR China; hujie{at}sjtu.edu.cn

Yinghong Peng

Institute of Knowledge Based Engineering, School of Mechanical Engineering Shanghai Jiao Tong University, Shanghai, 200240, PR China

Guangleng Xiong

State CIMS Engineering Research Center, Department of Automation Tsinghua University, Beijing,100080, PR China

This study presents a parameter coordination and robust optimization approach based on knowledge network modeling. The method allows multidisciplinary designer to synthetically coordinate and optimize parameter considering multidisciplinary knowledge. First, a knowledge network model is established, including design knowledge from assembly, manufacture, performance, and simulation. Second, the parameter coordination method is presented to solve the knowledge network model, monitor the potential conflicts due to engineering changes, and obtain the consistency solution space corresponding to the given knowledge. Finally, the robust parameter optimization model is established, and genetic arithmetic is used to obtain the robust optimization parameter. A design instance is introduced to show the validity of this method.

Key Words: knowledge network • parameter coordination • robust design • multidisciplinary • concurrent and collaborative design

Concurrent Engineering, Vol. 15, No. 1, 43-52 (2007)
DOI: 10.1177/1063293X07076271
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?