Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61869
Title: Decisional DNA Based Conceptual Framework for Smart Manufacturing
Contributor(s): Shafiq, Syed Imran (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author); Toro, Carlos (author)
Publication Date: 2016-02-24
DOI: 10.1007/978-3-319-28555-9_7
Handle Link: https://hdl.handle.net/1959.11/61869
Abstract: 

This paper presents the conceptual framework for systematic knowledge representation, storage and reuse of manufacturing information in a production scenario. This knowledge structure is designed for three levels in a manufacturing set up viz. first at the engineering objects level, second at process and finally at factory level. Virtual engineering object (VEO) deals with knowledge at the individual object/component/machine level while Virtual engineering process (VEP) represents knowledge at the process/operations level. Implementation of VEO and VEP has been already been done. This article proposes the integrated concept and architecture at facility/factory level and we termed it as Virtual Engineering Factory (VEF). It provides access to the complete production history of the factory, which is useful for decision-making activities. Moreover, we propose combined architecture for the extraction of the knowledge from different levels of manufacturing through VEF, VEP and VEO.

Publication Type: Conference Publication
Conference Details: ISAT2015: 36th International Conference on Information Systems Architecture and Technology-20th - 22th September, 2015, Karpacz, Poland, 20th - 22th September, 2015
Source of Publication: Advances in Intelligent Systems and Computing, 429(3), p. 79-88
Publisher: Springer, Cham
Place of Publication: Germany
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.scopus.com/inward/record.url?eid=2-s2.0-84959308515&partnerID=MN8TOARS
Appears in Collections:Conference Publication
School of Science and Technology

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