Cheung, Wai Ming, Maropoulos, Paul, Gao, James and Aziz, Hayder (2003) Knowledge-Enriched Product Data Management to Support Aggregate Process Planning. In: 1st International Conference on Manufacturing Research, 9th - 11th September 2003, Glasgow, UK.
|
Text (Full text)
Cheung et al - Knowledge-Enriched Product Data Management to Support Aggregate Process Planning.pdf - Accepted Version Download (140kB) | Preview |
Abstract
This paper is proposed a novel method to disperse manufacturing knowledge through the application of a Product Data Management (PDM) system. The intention of this new development is to support aggregate process planning during the early product development phases. The objective of the methodology is that manufacturing knowledge can be captured and reused within a distributed and collaborative environment. In addition, this paper also emphasises the way in which manufacturing knowledge can be encapsulated in a domain- specific ontology called ‘manufacturing know-how’. Its semantics can be translated through the application of web-based technologies so that it would enrich the value of manufacturing knowledge being managed and promote the sharing of that knowledge within a distributed and collaborative environment.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Subjects: | G500 Information Systems H700 Production and Manufacturing Engineering |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Depositing User: | Paul Burns |
Date Deposited: | 24 May 2018 10:11 |
Last Modified: | 01 Aug 2021 07:52 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/34355 |
Downloads
Downloads per month over past year