Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61943
Title: Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0
Contributor(s): Shafiq, Syed Imran (author); Sanin, Cesar  (author)orcid ; Toro, Carlos (author); Szczerbicki, Edward (author)
Publication Date: 2015
Early Online Version: 2015-03-24
DOI: 10.1080/01969722.2015.1007734
Handle Link: https://hdl.handle.net/1959.11/61943
Abstract: 

In this article we propose the concept, its framework, and implementation methodology for Virtual Engineering Objects(VEO). A VEO is the knowledge representation of an engineering object that embodies its associated knowledge and experience. AVEO is capable of adding, storing, improving, and sharing knowledge through experience. Moreover, it is demonstrated that VEO is a specialization of a Cyber-Physical System (CPS). In this article, it is shown through test models how the concept of VEO can be implemented with the Set of Experience Knowledge Structure (SOEKS)and Decisional DNA (DDNA). The test model confirmed that the concept of VEO is able to capture and reuse the experience of engineering artifacts, which can be beneficial for efficient decision-making in industrial design and manufacturing.

Publication Type: Journal Article
Source of Publication: Cybernetics and Systems, 46(1-2), p. 35-50
Publisher: Taylor & Francis Inc
Place of Publication: United States of America
ISSN: 1087-6553
0196-9722
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

Files in This Item:
1 files
File SizeFormat 
Show full item record

SCOPUSTM   
Citations

121
checked on Nov 23, 2024
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.