Knowledge-Enriched Product Data Management to Support Aggregate Process Planning

Wai Ming Cheung, Paul Maropoulos, James Gao, Hayder Aziz

Research output: Contribution to conferencePaperpeer-review

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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.
Original languageEnglish
Pages253-258
Number of pages6
Publication statusPublished - 11 Sep 2003
Event1st International Conference on Manufacturing Research - Strathclyde University, Glasgow, United Kingdom
Duration: 9 Sep 200311 Sep 2003

Conference

Conference1st International Conference on Manufacturing Research
Abbreviated titleICMR
CountryUnited Kingdom
CityGlasgow
Period9/09/0311/09/03

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