Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA

Title
Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA
Publication Date
2016
Author(s)
Shafiq, Syed Imran
Sanin, Cesar
( author )
OrcID: https://orcid.org/0000-0001-8515-417X
Email: cmaldon3@une.edu.au
UNE Id une-id:cmaldon3
Toro, Carlos
Szczerbicki, Edward
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Taylor & Francis
Place of publication
United Kingdom
DOI
10.1080/00207543.2015.1125545
UNE publication id
une:1959.11/61882
Abstract

The objective of this research is to provide a user-friendly and effective way of representing engineering processes for distributed manufacturing systems so that they can develop, accumulate and share knowledge. The basic definition and principle of the approach is introduced first and then the prototype version of the system is developed and demonstrated with case studies, which verify the feasibility of the proposed approach. This paper proposes a novel concept of virtual engineering process (VEP), which is experience-based knowledge representation of engineering processes. VEP is an extension of our previous work on virtual engineering object (VEO). VEP model includes complete process knowledge required to manufacture a component. This knowledge is captured from three distinctive aspects related to manufacturing. First, information about the manufacturing operations involved. Second, information about the resources/machines required to perform operations and third, information about process level decisions that are taken. It also aims to combine/share experience of engineering objects, manufacturing processes, and systems. It applies bio-inspired knowledge engineering approach called decisional DNA and set of experience-based knowledge representation.

Link
Citation
International Journal of Production Research, 54(23), p. 7129-7142
ISSN
1366-588X
0020-7543
Start page
7129
End page
7142

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