Fine grain associative feature reasoning in collaborative engineering Online publication date: Wed, 03-Mar-2010
by Yong-Sheng Ma, C.H. Bong
International Journal of Computer Applications in Technology (IJCAT), Vol. 37, No. 3/4, 2010
Abstract: This paper explores the vast domain of systematic collaborative engineering with reference to product lifecycle management approach from the angle of feature-level collaboration among partners. A new method of fine grain feature association modelling and reasoning is proposed. The original contribution is on the explicit modelling and reasoning of collaborative feature relations within a dynamic context. A case study has been carried out to illustrate the interweaving feature relations in collaborative oil rig space management and the effective application of such relations modelled in design solution optimisation.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com