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An engineering design knowledge reuse methodology using process modelling

An engineering design knowledge reuse methodology using process modelling

Gao, James ORCID: 0000-0001-5625-3654, Baxter, David, Case, Keith, Harding, Jennifer, Young, Robert, Cochrane, Sean and Dani, Shilpa (2007) An engineering design knowledge reuse methodology using process modelling. Research in Engineering Design, 18 (1). pp. 37-48. ISSN 0934-9839 (doi:https://doi.org/10.1007/s00163-007-0028-8)

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Abstract

This paper describes an approach for reusing engineering design knowledge. Many previous design knowledge reuse systems focus exclusively on geometrical data, which is often not applicable in early design stages. The proposed methodology provides an integrated design knowledge reuse framework, bringing together elements of best practice reuse, design rationale capture and knowledge based support in a single coherent framework. Best practices are reused through the process model. Rationale is supported by product information, which is retrieved through links to design process tasks. Knowledge based methods are supported by a common design data model, which serves as a single source of design data to support the design process. By using the design process as the basis for knowledge structuring and retrieval, it serves the dual purpose of design process capture and knowledge reuse:capturing and formalising the rationale that underpins the design process, and providing a framework through which design knowledge can be stored, retrieved and applied. The methodology has been tested with an industrial sponsor producing high vacuum pumps for the semiconductor industry.

Item Type: Article
Uncontrolled Keywords: design knowledge reuse, new product introduction, knowledge management, product lifecycle management
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
T Technology > TA Engineering (General). Civil engineering (General)
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Engineering Systems
Related URLs:
Last Modified: 29 Jan 2020 11:03
URI: http://gala.gre.ac.uk/id/eprint/2916

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